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24d ago

AI Data Engineer

UKG (Ultimate Kronos Group) Lowell, MA

Lowell, MA

24d ago

$72k - $103k/yr Full time Artificial Intelligence Data Data Analysis

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Job Description

The Data & AI Engineer role supports the creation and ongoing operation of data pipelines, analytics solutions, and AI-enabled capabilities in an entry-level position. You will work alongside experienced engineers and business teams while building practical skills across data engineering, cloud platforms, and applied AI.

Role Overview

In this position, you will help build and support data pipelines, analytics solutions, and AI-enabled capabilities, contributing to trusted datasets and reliable data flows.

Responsibilities

Build and maintain data ingestion and transformation pipelines.
Use SQL and Python to process, validate, and prepare data.
Assist in organizing data into trusted, reusable datasets used for reporting and analytics.
Support data quality checks, help investigate issues, and monitor pipeline performance.
Assist with developing and testing AI and machine learning solutions.
Work with cloud services and tools related to data storage, processing, and model development.
Document data flows, code, and technical processes.
Collaborate with data engineers, architects, analysts, and business partners.
Follow established standards for data security, governance, and software development.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Foundational experience with SQL and Python gained through coursework, projects, internships, or work experience.
Understanding of databases, data structures, and basic data processing concepts.
Interest in cloud data platforms and artificial intelligence.
Strong problem-solving, communication, and teamwork skills.
Willingness to learn new tools and technologies.

Preferred Qualifications

Exposure to a cloud platform such as Google Cloud, AWS, or Azure.
Familiarity with data warehouses, ETL/ELT pipelines, or orchestration tools.
Experience with Git and basic software development practices.
Exposure to machine learning concepts or AI tools.
Familiarity with data quality, metadata, or data governance concepts.

Technologies

SQL
Python
Google Cloud
AWS
Azure
Git

Compensation

The pay range for this position is $71,900 to $103,350 per year.

Benefits

flexibility that’s real
benefits you can count on
performance-based bonus plan
restricted stock unit awards

Work Location, Travel, and Employment Type

Location: Lowell, MA, United States (hybrid)
Travel: Up to 25%
Employment Type: Regular

Additional Information

Job ID: DATAE020428
Role Focus: Data & AI engineering for data pipelines, analytics solutions, and AI-enabled capabilities

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24d ago

Lead Data Engineer

Systems Enginuity Inc. (SEI) Remote 🌍 Remote

Remote

24d ago

$104k - $130k/yr Full time Big Data Data Architecture Data Engineering Lead

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Job Description

Systems Enginuity, Inc. (SEI) is seeking a Lead Data Engineer to build scalable real-time/streaming, incremental, and batch data processing capabilities for FAA aviation safety research.

Responsibilities

Lead the design, development, and deployment of scalable real-time/streaming, incremental, and batch data processing pipelines for aviation safety research and analytics.
Design and implement data architectures to integrate and synchronize aircraft trajectory, surveillance, operational, environmental, and other spatial-temporal data.
Create data models and processing approaches to maintain aircraft state, trajectory histories, spatial relationships, and derived analytical features.
Develop and oversee processing capabilities that deliver reliable, reproducible inputs for trajectory prediction, anomaly detection, machine learning, visualization, and other analytics.
Lead development of APIs, data services, feature pipelines, and interfaces connecting source data, analytical models, enterprise platforms, and user-facing applications.
Improve engineering outcomes across performance, scalability, data quality, temporal alignment, spatial processing, and data gap handling for high-volume trajectory and telemetry data.
Collaborate with data scientists and ML engineers on training data generation, model evaluation, feature engineering, and near real-time model execution.
Provide hands-on technical leadership through architecture reviews, code reviews, engineering best practices, and mentoring senior and associate engineers.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a related technical field.
8+ years experience with a Bachelor’s degree, or 6+ years experience with a Master’s degree.
Advanced proficiency in Python and SQL, plus current software engineering practices.
Significant experience with streaming, event-driven, incremental, or distributed data processing architectures.
Experience with technologies such as Palantir Foundry, Kafka, Flink, Spark, Databricks, Snowflake, or comparable tools.
Experience processing large-scale time-series, telemetry, sensor, geospatial, or spatial-temporal data.
Experience with APIs, databases, cloud platforms, containerized environments, and modern software/data architectures.
Experience with Java, TypeScript, or other languages used in large-scale distributed systems.
Experience working with geospatial libraries and spatial indexing approaches.
Experience with aircraft surveillance track data or ADS-B data, trajectory processing, and predictive analytics.
Aviation, aerospace, transportation, or other safety-critical systems experience.

Technologies

Python
SQL
Palantir Foundry
Kafka
Flink
Spark
Databricks
Snowflake
Java
TypeScript
ADS-B

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Flexible spending account
Health insurance
Paid time off
Referral program
Vision insurance

Interview Process

SEI states the interview process is personal and authentic, and that it does not use AI to conduct interviews.
Selected candidates meet directly with Project Engineers and Hiring Managers in a live online interview to assess qualifications, experience, and fit within the data science team and culture.
To ensure fair evaluation, candidates are asked not to use AI tools or other assistance during interviews.
Evaluation focuses on candidates’ own knowledge, skills, experience, and problem-solving abilities.

Eligibility Requirements

Offered employment requires successful completion of a U.S. Federal Government public trust security process, including fingerprinting, a government background investigation, and other required screenings.
Applicants MUST be U.S. citizens or lawful permanent residents and eligible to satisfy applicable U.S. Federal Government suitability and security requirements.
SEI cannot provide employment visa sponsorship for this position.
Not eligible: individuals working under or requiring temporary employment authorization, including F 1 CPT, OPT, or STEM OPT.

Pay and Location

Salary: USD 104,000 - 130,000 per year
Work location: Remote

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24d ago

Senior Data Engineer

Dell Medical School Austin, TX

Austin, TX

24d ago

$138k+/yr Full time Senior Apache Airflow Big Data

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Job Description

The Senior Data Engineer at Dell Medical School will lead the design, development, and optimization of complex data pipelines and platforms that enable enterprise analytics, reporting, and advanced data use cases across clinical, operational, financial, and research environments.

Key Responsibilities

Design, build, and maintain complex, scalable ETL/ELT pipelines for both structured and unstructured data.
Lead data integration from EHRs, financial systems, registries, and external data sources.
Optimize pipelines for performance, reliability, fault tolerance, and cost efficiency.
Implement batch and near-real-time processing patterns as needed.
Ensure pipelines meet regulatory, privacy, and security requirements, including HIPAA.
Serve as technical owner for assigned data platforms, domains, or subject areas (such as clinical analytics or operational reporting).
Design and maintain data lake, warehouse, and data mart structures using cloud platforms.
Develop and enforce data modeling standards, schema design practices, and partitioning strategies.
Partner with IT and cloud teams to support availability, scalability, and disaster recovery readiness.
Build curated, analytics-ready datasets and reusable data assets for analysts and data scientists.
Collaborate with data science teams to support feature engineering, model training, and deployment workflows.
Develop frameworks and patterns that improve self-service analytics and reduce ad hoc data requests.
Support predictive analytics and AI/ML proof-of-concept and experimentation efforts.
Improve data engineering workflows through automation, monitoring, and CI/CD for data pipelines.
Refactor legacy pipelines and supporting infrastructure to improve maintainability and scalability.
Establish best practices for code quality, documentation, testing, and version control.
Evaluate new tools and technologies and recommend adoption where appropriate.
Mentor Data Engineer staff and review code, pipeline designs, and architecture artifacts for quality and consistency.
Provide guidance on complex technical problems and help unblock team members.
Contribute to onboarding, internal training, and knowledge-sharing activities.
Partner with business, clinical, research, and operational stakeholders to translate requirements into technical solutions.
Lead data engineering workstreams within cross-functional projects or agile squads.
Communicate technical concepts, trade-offs, and risks to non-technical audiences.
Support planning, estimation, and prioritization of data engineering initiatives.
Support data integration efforts for new service lines, acquisitions, or system migrations.
Participate in vendor evaluations and technical assessments.
Assist with disaster recovery testing and business continuity planning.
Contribute to grant proposals or research initiatives requiring advanced data infrastructure.
Perform related duties as required.

Technologies

SQL, Python, Spark
Airflow
AWS, GCP, Azure/Fabric
HIPAA, HL7, FHIR

Requirements

Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or a related field.
At least 6 years of experience in data engineering, analytics engineering, or data platform development.
Demonstrated experience designing and leading complex data pipelines and data platforms.
Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Master’s Degree in Data Science, Data Engineering, Computer Science, Informatics, or related field.
Experience in healthcare data engineering or regulated data environments.
Exposure to AI/ML infrastructure, feature stores, or model operationalization.
Experience leading technical initiatives or acting as a team lead.

Preferred Certifications

Cloud Certification
Microsoft Certified: Azure Data Engineer Associate
Google Cloud Professional Data Engineer
AWS Certified Data Analytics – Specialty

Salary and Location

Location: Austin, TX (onsite)
Salary: USD 138,000 per year
Salary Range: $138,000+ depending on qualifications

Working Conditions

Standard office equipment
Repetitive use of a keyboard
May be exposed to healthcare-related occupational hazards depending on assignment

Required Materials

Resume/CV
3 work references with contact information (at least one reference should be from a supervisor)
Letter of interest

Certifications

Required: None

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24d ago

Sr Data Analyst, Sellers

News Corp Austin, TX

Austin, TX

24d ago

Full time Senior Analytics Business Analytics

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Job Description

As a Sr Data Analyst on our Sellers team, you will help set the measurement standard for a live product line at News Corp. This role combines end-to-end KPI and dashboard instrumentation with advanced analysis, so you can turn marketplace and product engagement data into executive-ready insights that drive measurable seller-focused outcomes. You will collaborate closely with Product, Marketing, and Sales while building trust in analytics across teams and product experiences.

What you’ll do

Own the full measurement framework for a live product line, including KPIs, dashboards, and instrumentation, not just isolated analysis.
Drive solutions to complex marketplace problems, including pricing and packaging optimization and causal inference for interventions where standard A/B test assumptions may not hold.
Provide strategic executive visibility by partnering with Product, Marketing, and Sales to inform commercial decisions and measure product impact.
Lead business performance reporting, visualization, and analysis to help stakeholders understand performance and determine whether to improve results or double down on what’s working.
Conduct deep-dive analysis using advanced methods (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to understand how people interact with product features and translate findings into recommendations.
Forecast and size opportunities by evaluating short-run and long-run dynamics of proposed changes, setting targets for business performance, and optimizing lead generation and funnel improvement.
Build and strengthen analytics capabilities by working with other data teams to improve data architecture, data visualization, data modeling, and testing platforms.
Support adoption of analytics tooling by ensuring seller customer interactions are included in the build out of Amplitude, advocating for adoption, and building trust through consistent analytics delivery.
Improve seller-focused customer outcomes by understanding drivers of Net Promoter Score (NPS) and identifying actionable paths for product and customer care improvements.
Produce insights across the analytics lifecycle from analytic plan creation through end-of-analysis summaries, including quantitative analysis, ad hoc reporting, and statistical models covering engagement and funnel conversion metrics.

What we’re looking for

Bachelor’s Degree in Business Analytics, Math, Economics, or equivalent work experience.
5+ years of relevant experience, or a Master’s Degree with 3+ years of experience.
Preferred: experience using data to analyze product feature performance.
Advanced SQL knowledge.
Experience with data exploration and visualization tools such as Tableau, Shiny, and Streamlit.
Experience with cloud data environments such as AWS and Snowflake.
Advanced technical and modeling skills, including Excel or Google Sheets (for example: pivot, vlookup) and data analytics.
Understanding of experimentation and statistics concepts (confidence intervals, hypothesis testing, regression analysis, etc.).
Ability to think strategically about product performance drivers and interpret conversion funnels with identified fallout points.
Strong communication skills, including written and verbal presentation experience with diverse audiences.
Comfort working in an agile, iterative environment, with strong self-management and time management.

Bonus skills

Experience in a subscription business.
Knowledge in Python or R.

Tools you’ll use

SQL, Tableau, Shiny, Streamlit
AWS, Snowflake
Excel, Google Sheets
Amplitude
A/B experimentation, statistical modeling, matched pair, machine learning

Benefits

Inclusive and competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 Paid Holidays and Flexible Time Off
8 hours of paid volunteer time off
Immediate eligibility into the Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

Work location

Onsite in Austin, TX, United States. For most roles, employees work three or more days in the Austin headquarters for in-person collaboration.

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24d ago

Senior Procure to Pay Data Analyst

New York University New York, NY

New York, NY

24d ago

$110k - $130k/yr Full time Senior Analytics Business Analytics

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Job Description

The Senior Procure-to-Pay (P2P) Data Analyst acts as the lead reporting, analytics, and business intelligence resource for NYU’s Procure-to-Pay function. This onsite role focuses on building dashboards, KPIs, and analytical solutions that improve visibility, compliance monitoring, risk identification, and data-driven decision-making across procurement and payables activities.

Core Responsibilities

Develop and maintain reports, dashboards, key performance indicators, and analytical solutions covering procurement, payables, sourcing, contracting, supplier management, and travel operations.
Use advanced reporting and monitoring to help budget holders and University leadership measure operational performance, track compliance with procurement and payment policies, identify risks and opportunities, and support data-driven decisions.
Partner with Procurement and Payables leadership, Finance, and campus stakeholders to translate business requirements into actionable insights that support operational excellence, financial stewardship, and continuous improvement.
Define reporting standards and advance data quality and governance, applying emerging technologies such as artificial intelligence (AI), predictive analytics, and automation to strengthen reporting capabilities and compliance monitoring.

Required Qualifications

Bachelor’s Degree in Business Administration, Finance, Economics, Data Analytics, Information Systems, Supply Chain Management, Statistics, or a related field.
5+ years of data analytics, business intelligence, financial analysis, procurement analytics, or a related analytical role, or an equivalent combination of education and experience.
Advanced proficiency in Microsoft Excel, including data modeling, pivot tables, advanced formulas, and data analysis techniques.
Demonstrated experience with business intelligence and data visualization tools such as Tableau, Power BI, or similar platforms.
Experience producing executive-level reporting and performance metrics.
Strong analytical, critical thinking, and problem-solving skills, with the ability to interpret complex data and communicate findings effectively.
Proven ability to create meaningful metrics, dashboards, scorecards, and performance reporting frameworks.
Knowledge of data quality management, validation techniques, and reporting governance best practices.
Ability to perform trend analysis, benchmarking, forecasting, and root cause analysis.
Strong written, verbal, presentation, and interpersonal communication skills.
Ability to manage multiple priorities, work independently, and maintain accountability for deliverables.
Ability to collaborate with technical and non-technical stakeholders and translate reporting needs into usable reporting solutions.
Knowledge of emerging technologies including artificial intelligence (AI), generative AI, automation, and advanced analytics tools, and how they apply to business reporting, process improvement, and decision support.
Ability to evaluate and responsibly leverage AI-enabled tools to improve reporting efficiency, data analysis, forecasting, compliance monitoring, and operational effectiveness while maintaining appropriate data governance and security standards.

Technologies and Systems

Microsoft Excel
Tableau
Power BI
PeopleSoft
JAGGAER
Concur
AppZen
Oracle
Workday
SAP

Preferred Experience

5+ years of experience supporting procurement, accounts payable, sourcing, contract management, supplier management, travel, or other Procure-to-Pay functions.
Experience with ERP, procurement, and financial systems such as PeopleSoft, JAGGAER, Concur, AppZen, Oracle, Workday, SAP, or similar platforms.

Preferred Skills, Knowledge, and Abilities

Experience working with Higher Education.
Experience with enterprise data warehouses and reporting environments.
Experience utilizing AI-enabled analytics, automation, or business intelligence solutions to improve reporting, operational performance, or decision support.
Demonstrated experience managing data quality, validation, and governance protocols for data pipelines that feed AI, machine learning, or automated workflow engines.

Compensation and Location

Location: New York, NY (onsite).

Salary Range: USD $110,000.00 to USD $130,000.00 per year.

This range reflects annual base salary only and does not include incentives, bonuses, clinical compensation, or other items.

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24d ago

Data Analyst

viva Mason, OH

Mason, OH

24d ago

$42 - $47/hr Full time Analytical Skills Data Data Analysis

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Job Description

Join the Business Configuration team to configure managed vision care products in the Facets system and use SQL to analyze and troubleshoot configuration issues.

Responsibilities

Act as a Data Analyst on the Business Configuration team for product structure and benefit plan setup for clients’ Managed Vision Care programs
Provide subject matter expertise for product configuration in the Facets system
Collaborate with client cross-functional teams to ensure configuration requests are handled efficiently and accurately
Configure all types of managed vision care products in the system using both the Product Key Sheet method and manual configuration
Ensure product configuration accuracy using configuration tools for manual and automated product creation
Write SQL queries and export database data to Excel to analyze, troubleshoot, and resolve configuration issues
Handle and resolve product configuration questions and issues submitted to the Business Configuration production team without guidance
Maintain working relationships with Implementation Managers and Account Managers, supporting a cohesive cross-functional environment
Self-manage completion of work inventory in production queues within established quality and turnaround time service levels
Coordinate and participate in cross-functional activities to support issue resolution
Recommend process and system enhancements to drive improvements
Support management with ongoing training activities, miscellaneous projects, issue resolution, and serving as a subject matter expert for configuration requests

Requirements

Associate degree or equivalent experience
5+ years of experience working within a core claims administration system
Strong analytical and problem-solving skills
2+ years experience writing SQL queries and exporting data from database tables into Excel for analysis
Good communication and interpersonal skills
Ability to work independently or as part of a team
Ability to manage multiple complex assignments at once

Technologies

Facets system
SQL
Excel
Product Key Sheet method

Preferred Qualifications

3+ years experience in Operations in the Healthcare industry
Experience understanding claim adjudication for member and provider reimbursements
Experience with Facets platform using Claims, Provider, Network, Product Benefit Configuration
Knowledge of Medicare and Medicaid programs

Location: Mason, OH (onsite)

Compensation: USD 42 - 47 per hourly

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24d ago

Data Analyst – Business Configuration

Azaaki solutions Mason, OH

Mason, OH

24d ago

$45 - $47/hr Contract Analytical Skills Analytics Data Analysis

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Job Description

Azaaki solutions is hiring a Data Analyst for its Business Configuration team supporting EyeMed Managed Vision Care clients. In this contract role based in Mason, OH, you will focus on product configuration and benefit plan setup within the Facets system, partnering with cross-functional teams to keep configuration requests efficient and accurate.

The role combines configuration work with data-driven troubleshooting. You will use SQL and Excel to analyze configuration issues, resolve requests, and contribute to process and system enhancements, while serving as a subject matter expert for configuration-related questions.

General Function

Serve as a Data Analyst on the Business Configuration team for the structure and benefit plan setup for EyeMed Managed Vision Care clients.
Provide subject matter expertise for product configuration in the Facets system.
Partner with EyeMed cross-functional teams to support efficiency and accuracy of configuration requests.

Responsibilities

Configure managed vision care products in the system using both the Product Key Sheet method and manual configuration.
Maintain product configuration accuracy using configuration tools for manual and automated product creation.
Write SQL queries and export data from databases to analyze and troubleshoot configuration issues.
Perform issue resolution for configuration requests, including troubleshooting without guidance for product configuration questions/issues routed to production.
Maintain relationships with Implementation Managers and Account Managers, supporting a cohesive, cross-functional, results-driven working environment.
Self-manage completion of work inventory in production queues within established quality and turnaround time service level expectations.
Coordinate and participate in cross-functional issue resolution activities.
Recommend process and system enhancements to drive improvements.
Support management with ongoing training activities, miscellaneous projects, issue resolution, and subject matter expertise for configuration requests.

Requirements

Associate degree or equivalent experience required.
At least 5 years of experience working within a core claims administration system.
Good analytical and problem-solving skills.
Minimum of 2 years experience writing SQL queries and exporting data from database tables into Excel for analysis.
Good communication and interpersonal skills.
Ability to work independently or as part of a team.
Ability to manage multiple complex assignments at once.

Preferred Qualifications

3+ years experience in Operations in the Healthcare industry.
Experience understanding claim adjudication for member and provider reimbursements.
Experience with the Facets platform using Claims, Provider, Network, and Product Benefit Configuration.
Facets experience is preferred but not mandatory.

Tech & Tools

SQL
Excel
Facets

Work Model, Duration, and Location

Location: Mason, OH 45040 (Hybrid)
Schedule: Monday to Friday, 9:00 AM to 5:00 PM (half an hour for lunch)
Hybrid expectation: 3 days office, 2 days work from home
Duration: 6+ months, temp to hire
Work location note: In person for training; training is 100% onsite, and after training working 1 day per week on site (flexible)
Expected hours: 40.0 per week