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Remote Data Jobs (US)

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Today

HR Data Analyst

Elwood Professional Indianapolis, IN 🇺🇸 Remote

Indianapolis, IN

Today

$77 - $77/hr Contract Business Intelligence Data Analysis Data Analytics

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Job Description

Elwood Professional is hiring a remote HR Data Analyst for a contract-to-hire opportunity in Indianapolis, IN. This role focuses on improving HR reporting through data analytics, dashboards, and process optimization, with tools like Excel and Power BI. You will also help streamline complex reporting workflows to reduce manual effort and deliver clearer visibility to leadership.

What You’ll Do

Maintain existing HR reporting by analyzing and formatting data in Excel using filters, advanced formulas, macros, pivot tables, conditional formatting, and related tools.
Transform and optimize complex Excel-based reporting processes by finding opportunities to simplify and automate workflows using advanced Excel capabilities, AI, and other emerging technologies.
Reduce manual work, reporting complexity, and the time required to produce and maintain reports.
Develop dashboards and data visualizations that help leaders understand metrics and trends.
Use tools such as Power BI, Excel, and other available reporting/visualization tools to turn complex data into clear metrics and insights.
Create and maintain step-by-step documentation of reporting workflows, and update it as processes are optimized or automated to keep procedures accurate and sustainable.

What You Bring

Bachelor’s degree in Human Resources, Business, Data Analytics, Information Systems, or a related field.
8+ years of related professional experience.
Demonstrated experience in data analysis, reporting, and process improvement, including working with complex datasets and reporting processes.
Advanced Excel proficiency, including advanced formulas, pivot tables, macros, conditional formatting, and data manipulation used to analyze and automate complex reporting.
Experience building dashboards, metrics, and data visualizations using Power BI, Excel, or similar tools.
Experience using AI, automation tools, or other emerging technologies to improve analysis, reporting, or business processes.
Background check eligibility; a pre-employment drug screen is required as a condition of employment.
A conviction record will not necessarily prevent employment. You may be asked to complete and submit a questionnaire, and the company will consider factors such as age at the time of offense, when it occurred, seriousness and nature, and any rehabilitation.

Schedule and Pay

Contract to hire position
$77.00/hour
First shift, Monday through Friday, 08:00am to 05:00pm
Remote (Indianapolis, IN)
Job type: contract

Benefits

Medical/Vision/Dental/Rx plans
Weekly Pay
And More!

How to Apply

Contact Cierra Thompson at (812) 372-6200 or email cierra.thompson@elwoodprofessional.com. You can also apply online at www.elwoodjobs.com.

Mailing address: 4111 Central Avenue, Columbus, IN 47203

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Today

Senior Data Engineer

CGI Group, Inc. Portland, OR 🇺🇸 Remote

Portland, OR

Today

$63k - $139k/yr Full time Senior Azure Azure Data Factory

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Job Description

Work remotely from Oregon (USA) as a Senior Data Engineer at CGI Group, Inc., helping deliver reliable enterprise data platforms and ETL/ELT pipelines through rigorous testing, validation, and automation. This role combines strong technical depth with Agile/Scrum collaboration, supported by competitive compensation (USD 62,900 - 139,300 yearly) and a benefits package designed for your wellbeing and long-term growth.

You will design and execute end-to-end test plans that validate data accuracy, completeness, transformation logic, reconciliation, and data quality across source and target systems. If you enjoy turning quality concepts into repeatable testing assets and SQL-based checks, this position is built for that kind of impact.

What you’ll do

Design, develop, and execute test plans, test scenarios, and test cases for enterprise data platforms, ETL/ELT pipelines, and data integration solutions.
Run end-to-end ETL testing and validate data accuracy, completeness, transformation logic, reconciliation, and data quality across systems.
Write complex SQL queries to support backend testing and data validation.
Test large-scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hive, Hadoop/HDFS, and Azure Data Factory (ADF).
Perform functional, integration, regression, system, and data quality testing for data pipelines and data-driven applications.
Validate batch processing, job scheduling, dependencies, and workflow execution using Control M and Unix/Linux environments.
Identify, document, track, and retest defects while partnering with developers, data engineers, business analysts, and other stakeholders.
Develop and maintain reusable test scripts and automation solutions where applicable.
Participate in Agile/Scrum activities including sprint planning, refinement, daily stand ups, reviews, and retrospectives.

What you bring

8+ years of experience in software quality engineering/testing, with strong experience in ETL testing, data validation, integration testing, and regression testing.
Strong hands-on SQL skills, including complex queries for source-to-target validation, reconciliation, and data quality testing.
Experience testing large-scale data platforms and ETL/ELT pipelines.
Hands-on experience with Databricks, Apache Spark, PySpark, Python, and Azure Data Factory (ADF).
Experience with Hadoop ecosystem technologies including Hadoop/HDFS and Hive.
Experience working in Unix/Linux and using enterprise job scheduling tools such as Control M.
Solid understanding of data quality concepts, data transformations, data mappings, and source-to-target validation.
Experience with defect management and test management processes in Agile/Scrum delivery environments.
Strong analytical, troubleshooting, communication, and collaboration skills.

Benefits

Competitive compensation including a profit participation program
Comprehensive medical, dental, and vision benefits
Basic life and accidental death & dismemberment insurance
401(k) matching contributions and a CGI share purchase plan
Flexibility and paid accrued vacation leave of 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
10 paid holidays per year
At least 80 consecutive hours of paid sick/safe leave (with exceptions where state/local law requires more)
Paid parental leave ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
Bereavement leave ranging from 1 to 7 days per year based on relationship
Paid jury duty leave, up to time summoned
Learning opportunities and tuition assistance
Wellness and Well being programs

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1d ago

Senior Data Engineer

Teal Health United States

United States

1d ago

$90 - $125/hr Contract Senior 3d Design Tools Aws Data Engineer

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Job Description

Teal Health is hiring a Senior Data Engineer for a hybrid role in the United States, focused on building a data foundation that helps the rest of the company query trusted, analysis-ready models. In this contract position, you will own the data warehouse, ingestion, and the modeled Omni data layer, partnering with analytics so dashboards are consistent and well-defined. You will also work with sensitive health data in alignment with HIPAA and Teal’s data governance practices.

What you’ll own

Data warehouse ownership: maintain the warehouse architecture while improving performance, reliability, and documentation.
Ingestion with Fivetran: manage and extend Fivetran ingestion across source systems, including troubleshooting connector and schema issues.
dbt transformation layer: build and maintain dbt models using a staging reporting pattern from raw sources to business-ready models used for forecasting, marketing, HubSpot, AWS, PostHog, and inventory.
Omni data layer: define relationships, joins, and modeled fields so teammates can answer cross-system questions independently.
Analytics enablement: collaborate with the analytics lead to ensure dashboards sit on an accurate, consistent, and well-defined data layer.
Early integrations: take on integration work early, including connecting new data sources and supporting partner data flows.
dbt tests and documentation: write tests and documentation so the team can trust and understand what’s in the warehouse.
Data standards and team growth: set expectations for modeling, testing, and documentation, and support how the data team grows.
Ticket-driven execution: work from a ticketed backlog (Jira or similar), scope requests across the company, and keep priorities visible.
HIPAA-aligned data handling: handle sensitive health data carefully and in line with HIPAA and Teal’s data governance practices.

What you bring

5+ years of experience in data engineering or analytics engineering, including owning a production data warehouse.
Strong SQL, including window functions, date logic, and complex joins across marketing, product, and operational data.
Fluency in Postgres/Redshift/Snowflake-style SQL (for example, ::type casts, date_trunc(), and similar).
Hands-on experience with dbt-core, including:
- models and sources
- dbt_project.yml and packages.yml configuration
- Jinja templating
- custom macros (for example, generate_schema_name)
- dbt’s testing and docs framework
Experience building a data warehouse using a layered staging reporting architecture.
Experience working with Fivetran-landed data and comfort digging into each source’s raw schema quirks.
Working knowledge of common dbt packages such as dbt_utils and dbt_date (for example, surrogate keys and date spines).
A habit of clear documentation and organized, ticket-driven work.

Role details

Location: United States (hybrid). Preferred Hybrid or Full-time in office (San Francisco); open to Remote-US.
Department: Engineering
Reports to: Head of Engineering
Employment type: Contract (approximately 5-20 hours per week, projects may fluctuate)
Hourly rate: $90–$125 per hour

Technologies you’ll work with

SQL, Postgres, Redshift, Snowflake
dbt-core, Jinja
Fivetran
dbt_utils, dbt_date
Omni, HubSpot, PostHog, AWS
HIPAA, Jira

Preferred

Experience with Omni or a similar semantic/modeling layer (such as Looker or LookML).
Python for scripting, integrations, or pipeline tooling.
Experience with healthcare or EHR integrations.
Deeper Jinja experience, including control flow and variables within dbt models.
Experience at an early-stage or fast-growing company where you owned a data function with limited support.

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2d ago

Clinical Data Analyst / Informatics Consultant

University of Minnesota Minneapolis, MN 🇺🇸 Remote

Minneapolis, MN

2d ago

$100k - $108k/yr Full time Analytics Clinical Informatics Clinical Research

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Job Description

Support Biomedical Informatics within the University of Minnesota Clinical and Translational Science Institute (CTSI) by consulting, querying clinical data, and delivering analytics services.

Responsibilities

Promote available CTSI Informatics services to investigators and research staff
Coordinate user testing and usability evaluation for offered services; capture needs for potential enhancements
Track service delivery progress, including delays and issues, and communicate status regularly with team management
Produce consultation reports covering project requirements, implementation plan, and execution and delivery outcomes
Ensure informatics work aligns with compliance standards, including IRB, data security, and University of Minnesota contractual obligations
Follow standard operating procedures and adhere to team policies and best practices
Maintain a high-quality client experience focused on user satisfaction
Share feedback and identify enhancement opportunities with team management
Follow up with investigators and staff to confirm delivered services meet expectations
Train users on data access procedures, analysis tools, and informatics infrastructure
Run feasibility analysis to verify project requirements can be supported through available informatics services
Assess availability of raw data and provide input on data quality to investigators and research personnel
Write code to query raw data and transform datasets using tools such as SMMS, SQL Developer, SAS, and/or R
Investigate alternative approaches to identify patient cohorts when data elements are unclear or not available
Collaborate with team members to review execution plans and validate results
Continuously expand knowledge of new clinical data sources

Requirements

BA/BS and 6+ years of relevant analytical or quantitative work, or an advanced degree with minimum 4 years of experience directly related to the role
At least 3 years of experience querying, extracting, formatting, and analyzing healthcare data such as inpatient/outpatient clinical records, labs, medications, provider data, and/or claims
Experience working with messy real-world data
Ability to work independently in a rapidly changing scientific environment
Proficiency in query development and report writing
Demonstrated experience with T-SQL, PL/SQL, SAS and/or R
Knowledge of healthcare data management concepts and regulatory/compliance policies (including HIPAA and IRB)
Strong human relations skills, including positive communication to serve and influence customers and stakeholders
Ability to participate in occasional domestic travel for conferences or training workshops
Capability to support multiple projects at once, prioritize assignments, and work with limited supervision
Comfort responding quickly and efficiently to urgent requests
Comfort following directions and instructions from supervisors and senior staff

Technologies

T-SQL, PL/SQL, SAS, R, Python
SQL Developer, SMMS
Clinical and healthcare data/code sets: ICD9, ICD10, CPT, NDC, RXNorm, LOINC
Data visualization: Qlikview, Tableau

Preferred Qualifications

Knowledge of clinical data, healthcare code sets, and ontologies (e.g., ICD9/ICD10, CPT, NDC/RXNorm, LOINC)
Customer-facing experience, preferably with physicians, investigators, faculty/academic, and research support staff
Experience with data visualization tools such as Qlikview or Tableau
Research experience (plus)
Exposure to statistical modelling and/or advanced analytics using R or Python

Position Details

Location: Minneapolis, MN (remote)
Work model: Remote with option to work on campus
Time Appointment: 100%
Salary: USD 100,000 - 108,000 per year
Visa sponsorship: Not eligible for visa sponsorship

Application and Compliance

Required qualifications must be documented on application materials
Employment offer is contingent upon successful completion of a background check

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3d ago

Data Engineer

The Strawhecker Group, LLC Omaha, NE 🇺🇸 Remote

Omaha, NE

3d ago

Contract Analytics Big Data Business Intelligence

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Job Description

Data Engineer contractor role designing, building, and maintaining data pipelines and infrastructure for payment analytics, reporting, and business intelligence products.

Contract type: 1099 contract (opportunity to transition to full-time W2)
Location: Omaha, NE (remote during 1099 phase)

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from internal systems and third-party payment sources
Build and optimize data models and warehouse structures in BigQuery to support analytics, reporting, and product needs
Develop and maintain data pipeline orchestration using tools such as Cloud Composer (Airflow) or Dataflow
Maintain data quality, integrity, and consistency using validation, testing, and monitoring
Migrate rules-driven transformation logic from Excel spreadsheets into versioned SQL tables to enable historical reloads and reproducible processing based on rules in effect at a given point in time
Collaborate with a multidisciplinary team including Data Engineers, Back-End Software Engineers, Product Managers, and Data Scientists
Implement data security and access controls aligned with PCI DSS and internal governance standards for sensitive payment and merchant data
Work with product and analytics teams to translate requirements into reliable, well-documented datasets
Optimize pipeline performance and cost efficiency across Google Cloud Platform data services
Tackle difficult problems and deliver results on schedule
Handle ad hoc business requests by converting ambiguous questions into reliable datasets, analyses, and data products, while continuously improving ingestion and transformation for speed, scalability, and cost efficiency

Requirements

3+ years of recent hands-on experience in data engineering or a related backend engineering role
Bachelor’s degree in Computer Science or a related field
Strong SQL skills plus experience with data modeling for analytics workloads
Proficiency in Python for data pipeline development
Strong hands-on experience with Google Cloud Platform, especially BigQuery and related data services
Experience with workflow orchestration tools such as Cloud Composer, Apache Airflow, or Dataflow
Strong understanding of OLAP, data warehousing, and analytics-oriented modeling concepts including partitioning, clustering, and performance tuning
Experience with structured and semi-structured data: JSON, CSV, Parquet
Proven ability to complete projects on time; described as a flawless executor rather than a procrastinator
Experience across all phases of the software development life cycle, best practices, and Agile Software Development

Technologies

Python, SQL
BigQuery, Google Cloud Platform
Cloud Composer, Airflow, Dataflow
dbt, Looker Studio, Tableau
Excel, JSON, CSV, Parquet
PCI DSS

Benefits

Free Fridays: 1 Friday per month to be taken as PTO
Unlimited PTO
Casual work environment
Health Insurance and Dental Insurance
Simple IRA Match
Life Insurance premiums 100% paid by TSG

About the Job

This is a 1099 contract position with the opportunity to transition to full-time W2 employment.
Please provide resume when applying.

1099 phase terms, including scope, duration, and payment terms, are defined in a separate Independent Contractor Agreement.
During the 1099 contract phase, the role can be performed remotely from anywhere in the United States.
Upon transition to W2 employment, the role is onsite in Omaha, NE.

Compensation and Benefits

1099 contract phase: compensation structured as a contract rate agreed upon in the Independent Contractor Agreement
TSG provides equipment needed to perform the work
As an independent contractor, the contractor is responsible for tax withholding and insurance
No TSG employee benefits package during the 1099 phase
W2 employment phase: competitive compensation and benefits including Free Fridays, Unlimited PTO, Health Insurance, Dental Insurance, Simple IRA Match, and life insurance premiums 100% paid by TSG

Background Checks, Access, and Security Controls

Contract-to-hire employees, in both 1099 and W2 phases, are subject to the same background check, access control, and security control requirements
Includes background checks required for employment and compliance with TSG PCI DSS and data security policies
No difference in vetting or security standards between the two phases

Working Conditions

1099 contract phase: work location and schedule agreed upon between contractor and TSG in the Independent Contractor Agreement
W2 employment phase: standard office environment, Monday through Friday, with some scheduling flexibility
Business casual attire and off-street free parking in Omaha

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5d ago

Senior Data Scientist, Fraud Risk Detection

Experian Information Solutions United States 🇺🇸 Remote

United States

5d ago

Full time Senior Big Data Data

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Job Description

Remote-first senior role in fraud risk detection with Experian Information Solutions, focused on building machine learning models and features that identify high-risk activity while minimizing friction for legitimate customers. You will work across research and engineering to take findings and turn them into production-ready tools, supported by a team that emphasizes model governance and responsible analytics.

What you’ll do

Explore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals.
Collaborate with senior data scientists to translate fraud questions into testable hypotheses.
Build machine learning models for fraud detection across account opening, account takeover, and identity risk.
Evaluate models using both technical and business metrics, including precision, recall, fraud capture rate, false-positive rate, and customer friction.
Develop and validate features using identity, transactional, behavioral, and other available data sources.
Write clean, well-tested code and partner with engineering to bring models and features into production.
Work with the score monitoring team to set up model and feature monitoring, and support research on related client questions.
Prepare analyses and communicate findings to both technical and nontechnical audiences.
Apply Experian standards for data privacy, model documentation, explainability, validation, and governance.

Requirements

3+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field.
Bachelor’s or advanced degree in a quantitative discipline (computer science, statistics, mathematics, economics, engineering, data science, or similar).
Foundation in supervised learning, model evaluation, feature selection, statistical inference, and techniques such as classification and anomaly detection.
Proficiency in Python, with the ability to write clean, readable, and well-tested code.
Experience with tools such as pandas, NumPy, and scikit-learn.
An investigative mindset to move from unusual data patterns to testable hypotheses.
Familiarity with PySpark and large-scale data tools and cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, Snowflake, or similar.
Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry via coursework, internship, or prior work.

Tech stack

Python, pandas, NumPy, scikit-learn, PySpark, Amazon Web Services, Google Cloud, Azure, Databricks, Snowflake

Benefits

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment: remote, hybrid, or in-office
Flexible time off including volunteer time off, vacation, sick, and 12 paid holidays
Explore additional benefits: https://yourexperianbenefits.com/cand-index.html

Role context: Experian’s Fraud Analytics & Commercialization includes client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. This is a remote role reporting into the Sr. Manager of Fraud Analytics.

Location: United States (remote) | #LI-Remote

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5d ago

Security Data Engineer

Anthropic Remote 🇺🇸 Remote

Remote

5d ago

$320k - $405k/yr Full time Data Engineer Data Integration Data Pipeline

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Job Description

As a Security Data Engineer, you will build and operate security data systems that support Anthropic’s data center footprint. The work covers component-level hardware inventory and chain of custody, continuous control monitoring, and posture calculations that determine what each site is cleared to run.

What You’ll Own

Maintain a component-level record of what hardware exists, where it is located, and who has handled it, including the underlying data model, pipelines that combine inventory and custody events from multiple source systems, record change history, and tamper-evident storage.
Capture custody events as they occur (receipt, move, data wipe, decommission) and enforce authorization for who can record them through site and host workflows.
Produce per-control and per-site measures over time by transforming check outcomes, assessment results, and findings into measures mapped to relevant compliance frameworks, and support posture calculations used for site authorization decisions.
Implement coverage checks, reconciliation against source systems, and alerts for silent or drifting feeds so missing or incorrect records are identified the same day, and manage retention and access controls for the custody and evidence records.

Tools, Workflows, and Automation

Develop the tools and AI agents used to verify custody, access, and evidence, including reconciliation and audit evidence export capabilities and custody checks.
Create and retire recurring manual review work by building workflows that reduce review time and improve operational consistency.
Build query surfaces and reporting that engineers, site leads, and leadership use to review outcomes and measures.
Coordinate schemas and interfaces with engineers who operate the security monitoring platform to ensure downstream usability.

Core Engineering Expectations

Design and run production data systems, including relational schemas, change data capture, batch or streaming pipelines, and the supporting services, with correctness validated through coverage measurement, source reconciliation, and alerting for silence.
Integrate with external systems not controlled by your team (such as inventory tools, ticketing systems, and vendor APIs) and build data models that remain stable as sources change.
Ship software that functions reliably outside a central service, including host agents, site-local services, or edge collectors, while keeping field metrics correct and verifiable.
Work hands-on with data tied to physical assets or security controls, including hardware fleets, supply chain inventory, asset custody, and security or compliance program evidence.
Collaborate through code review, including reading and reviewing other people’s code and building with AI coding agents using Git.
Deliver a domain end-to-end by setting approach, designing, building with dependent teams and vendors, and operating it as a daily-used system.
Write SQL and at least one general-purpose programming language well.

Technologies

SQL
Git
Change data capture
Batch or streaming pipelines

Education and Qualifications

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
Required field of study: A field relevant to the role, based on coursework, training, or professional experience.

Years of experience will align with internal job level requirements.

Preferred Qualifications

Experience with asset management, supply chain, or warehouse systems where serialized tracking and custody transfer are central problems.
Experience with continuous control monitoring or metrics for security or compliance programs, including producing evidence accepted by assessors (for example, NIST SP 800-53, ISO 27001, or SOC 2).
Experience with risk or posture scoring that combines control results, findings, and other evidence into a decision-ready measure.
Familiarity with data center hardware lifecycles from receipt to decommission, including sites and parties you do not control such as colocation, cloud or GPU cloud operators, hardware manufacturers, and logistics providers.
Experience running software across many hosts or remote sites with versioned rollout and the ability to confirm each copy is reporting.
Experience building AI agents or automation that replaces recurring manual work.

Travel and Location

Role location: San Francisco.
Remote applicants: US-based candidates are considered.
Travel: Regular travel to data center sites is required because these are critical infrastructure.

Compensation

Annual salary range: $320,000 - $405,000 USD.

Benefits

Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Lovely office space for collaboration
Competitive compensation and benefits

Additional Information

Location-based hybrid policy: Currently, staff are expected to be in one of the offices at least 25% of the time, though some roles may require more.
Visa sponsorship: Anthropic sponsors visas, but may not be able to sponsor every role and candidate.
Encouragement to apply even if you do not meet every qualification.
Recruiter email safety: Anthropic recruiters only contact candidates from @anthropic.com email addresses and will never ask for money, fees, or banking information before your first day.