United States

Data Jobs in United States

3,276 jobs found

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2mo ago

Treasury Business Process Data Analyst

Lockheed Martin Corporation Bethesda, MD

Bethesda, MD

2mo ago Closed

$64k - $112k/yr Full time Analyst Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Lockheed Martin Corporation seeks a Treasury Business Process Data Analyst to support Capital Markets and Treasury operations, applying automation and AI to streamline workflows and accelerate strategic decision-making. This role is based in Bethesda, MD with a hybrid work arrangement.

Responsibilities

Collaborate with the Treasury team to learn end-to-end processes and work with the Finance Automation Solutions Team (FAST) and the Lockheed Martin AI Center (LAIC) to design and implement AI-assisted workflows.
Execute capital markets activities, including settlements, valuation, accounting, forecasting, reporting, and ensuring SOX compliance.
Grow expertise across Treasury finance disciplines while identifying opportunities to automate processes, workflows, and reporting.
Leverage the Quantum Treasury Workstation to support operations, enhance reporting, dashboards, and overall capabilities.
Contribute to quarterly Treasury Tech Talks by proposing ideas, delivering training, and promoting AI and ML discussions.
Maintain the Treasury AI Use-Case list and partner with FAST to translate ideas into implementable solutions.
Monitor tasks and metrics, applying AI tools to convert complex activities into streamlined, repeatable processes.
Own documentation, training, and adoption strategies for new technology workflows.
Apply lean process improvement and reengineering principles to evaluate automation opportunities.
Lead proactive AI-enabled process improvements by identifying inefficiencies and delivering AI or automation solutions that comply with governance, standards, and security requirements; assess existing AI toolsets, develop proofs-of-concept, and document solutions aligned with LM architecture and compliance framework.

Compensation

Salary: USD 63,800 - 112,470 per year

Requirements

Educational background: Bachelor’s degree in finance, accounting, mathematics, economics, computer science, engineering, or related field, or equivalent hands-on experience.
Experience: At least 1 year in corporate treasury, finance operations, FP&A, or a technology-adjacent finance role.
Technical skills: Advanced proficiency with Microsoft Excel, PowerPoint, and Outlook, including XLOOKUP, SUMIFS, pivot tables, multi-axis charts, Power Query, complex workbooks, and import/export workflows.
Communication: Ability to craft compelling PowerPoint narratives for senior executives.
Personal attributes: Independent self-starter, results-driven, clear communicator, continual learner, and effective cross-functional collaborator.
Analytical ability: Strong investigative skills to identify data issues, diagnose root causes, debug complex problems, and resolve inconsistencies.

Technologies

Microsoft Excel
PowerPoint
Outlook
Databricks
Tableau
Power BI
Power Automate
Power Query
Quantum Treasury Workstation
ML pipelines
RPA platforms

Benefits

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
EAP
Education Assistance
Parental Leave
Paid time off
Holidays

Clearance Level

None

Other Important Information

Expression of Interest: Applying to this job indicates interest and may lead to consideration for other opportunities with similar requirements; you may be contacted if a match is identified.
Ability to Work Remotely: Part-time remote telework is available, with part of the schedule at a Lockheed Martin facility; weekly scheduling will be discussed during the hiring process.
Work Schedules: Lockheed Martin offers various alternate work schedules for added flexibility, including standard and condensed options alongside paid time off benefits.
Schedule for this Position: 4x10 hour days, 3 days off per week
Pay Rate: The base salary range for certain states is listed as USD 63,800 - 112,470; for other locations, the final range will reflect the selected work location. Salary figures are guidelines.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, Holidays.
Incentive plan eligibility: This position is eligible for an incentive plan.
Equal opportunity employer: Lockheed Martin does not discriminate on protected characteristics.
Application window: Closes in 90 days; candidates are encouraged to apply within 5 to 30 days of posting for optimal consideration.
Locations: Nationwide and OCONUS positions are available.

Experience Level

Experienced Professional

Business Unit

Corporate Headquarters

Relocation Availability

Possible

Career Area

Finance

Type

Full-Time

Shift

First

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2mo ago

Data Analyst

One Federal Solution Washington, DC

Washington, DC

2mo ago Closed

Full time Adoption Dashboard Analyst Analytical Skills

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Data Analyst position with One Federal Solution in Washington, DC onsite, focusing on data analysis, reporting, and information management within a high-visibility Department of State environment.

Responsibilities

Oversee the collection, receipt validation, and recordkeeping of monthly application registration data from Accrediting Entities (AEs).
Analyze monthly data by country to identify trends, anomalies, areas for improvement, and actionable recommendations.
Produce monthly reports, summaries, and leadership readouts, maintaining supporting materials in OneNote.
Maintain the Adoption Tracking System (ATS) with monthly, semi-annual, and annual data, ensuring data accuracy and integrity across records.
Conduct data reconciliation to remove duplicates and inconsistent naming conventions, upholding consistent data standards across systems.
Monitor changes in Adoption Service Provider (ASP) accreditation status and coordinate timely updates with Accrediting Entities.
Support provider change requests and respond to ATS inquiries from Accrediting Entities, Adoption Service Providers, and government personnel.
Generate country-specific and provider-specific reports to support leadership briefings, travel planning, meetings, and operational analysis.
Utilize the CLEAR Adoption Dashboard within the Consular Launchpad for Enterprise Analytics and Reporting to fulfill data requests and validate reporting accuracy.
Review dashboards and reports for inconsistencies, document discrepancies, and coordinate corrective actions with stakeholders.
Download, manipulate, and analyze data to support ad hoc reporting requirements and leadership requests.
Compile and analyze statistical data for the Annual Report to Congress, including narrative explanations, historical comparisons, trend analysis, and anomaly identification.
Coordinate with internal stakeholders to ensure completeness, accuracy, and timely clearance of annual reporting requirements.
Prepare statistical information for publication on government websites and provide data updates to international stakeholders as required.
Develop meaningful data visualizations, dashboards, charts, and graphics to communicate operational metrics and performance indicators.
Create visual reporting products using complaint registry data, accreditation information, and monthly and semi-annual reporting data.
Prepare executive presentations, briefing materials, and reports using Microsoft PowerPoint and other Microsoft Office applications.
Maintain organized documentation and knowledge management resources within OneNote and SharePoint to support continuity of operations.
Identify opportunities to improve reporting processes, workflow efficiencies, and data quality while ensuring compliance with policies and procedures.
Collaborate effectively with government personnel and cross-functional teams, maintaining professionalism, confidentiality, and strong customer service.

Requirements

Bachelor's degree required; five years of government experience (preferably supporting the Department of State) may substitute for the degree.
Minimum of three years of experience in a professional office environment.
Proven experience analyzing data, identifying trends, and preparing reports for executive or senior leadership.
Strong analytical, organizational, and problem-solving skills with meticulous attention to detail.
Excellent written and verbal communication skills.
Proven ability to manage multiple priorities while meeting deadlines in a fast-paced environment.
Proficiency with Microsoft Office Suite, including Excel, Word, PowerPoint, Outlook, Teams, and SharePoint.
Experience using OneNote for documentation and knowledge management.
Ability to exercise sound judgment, maintain confidentiality, and work independently with minimal supervision.

Technologies

Microsoft Excel
Microsoft Word
Microsoft PowerPoint
Microsoft Outlook
Microsoft Teams
SharePoint
OneNote
Adoption Tracking System (ATS)
Consular Launchpad for Enterprise Analytics and Reporting (CLEAR) Adoption Dashboard
Microsoft Power BI

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2mo ago

Data Analyst - DPW-D3 Street Maint West St

City of Indianapolis and Marion County Indianapolis, IN

Indianapolis, IN

2mo ago Closed

$44k - $44k/yr Full time Analyst Analytics Data

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

The City of Indianapolis and Marion County invites applications for a full-time Data Analyst role focused on DPW Street Maint West Street operations. This onsite position in Indianapolis, IN offers an annual salary of $44,428. The role centers on data analysis, quality control, and data administration within DPW Operations’ asset and workflow management solutions. Reporting to the Program Manager: Data & Tech, the analyst collaborates with Garage Superintendents and Union Management, supports weather-event operations, and participates in special projects.

Responsibilities

Oversee daily data management for DPW Operations work orders.
Analyze DPW Operations data and perform quality checks on labor costs, material costs and usage, locations of completed work, and production outputs.
Regularly coordinate with Garage Superintendents and Union Management on daily work logs and process improvements.
Execute data queries and deliver regular reports to assist with procurement, financial planning, workflow management, and resource alignment.
Ensure Service Requests are closed as work orders are entered, keeping Mayor’s Action Center data accurate and up-to-date.
Support snow events across Marion County, tracking plow movement and schedules, monitoring salt usage, and providing general support to Operations Management.
Provide technical assistance and oversight to DPW garages during the annual benefit selection period, and collaborate with DPW finance and payroll teams to support DPW Operations.
Assist DPW Dispatch and other Operations staff as needed.

Physical Conditions

Primarily sedentary work at a desk for the majority of the day.
Occasional lifting and carrying of light objects (approximately 5–10 pounds).
Extended periods at a computer or workstation may be required.
Requires the ability to perceive sounds and observe visual cues or signals.
Must be able to communicate verbally.

Supplemental Information

Work is performed in a standard office environment within DPW garages.
Occasional after-hours and weekend duties may be required due to weather events.
Rare travel between DPW garages may be requested.

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2mo ago

Data Engineer

Amazon.com Services LLC Culver City, CA

Culver City, CA

2mo ago Closed

$132k - $179k/yr Full time Amazon Quicksight Analytics AWS

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Join Amazon.com Services LLC in Culver City, CA on site as a Data Engineer with a salary range of USD 132,100 to 178,800 per year. This role centers on designing, building, and scaling Prime Video's data infrastructure and pipelines to enable reporting, analytics, and AI enabled insights for Global Operations. You will shape data models, governance, and automation to support forecasting, capacity planning, and self service analytics.

Responsibilities

Design, develop, and maintain scalable, automated data pipelines and ETL/ELT processes that ingest, transform, and deliver data to support business reporting and analytics needs.
Architect data infrastructure for agentic AI and Model Context Protocols MCP including structured pipelines, usage data capture, and systems that power AI enabled self service analytics and reporting.
Build and maintain data lakes, data warehouses, and APIs ensuring reliable, performant access to clean, well governed data. Optimize storage, queries, and AWS infrastructure costs.
Create logical data models that drive physical design, enabling BI analytics teams to build self service reporting on a solid foundation. Support forecasting and capacity planning at scale.
Establish data quality frameworks, monitoring, and alerting to ensure accuracy, completeness, and freshness. Drive governance best practices including lineage tracking, documentation, and access controls.
Own instrumentation strategy for key platforms, ensuring comprehensive data capture across operational workflows.
Partner cross functionally with BI engineers, analysts, operations, science, and tech teams to translate data requirements into scalable solutions.

Requirements

Bachelor's degree in business, engineering, statistics, computer science, mathematics or a related field
3+ years of data engineering experience
3+ years of experience with big data technologies such as Hadoop, Hive, Spark, or EMR
Experience with data modeling, warehousing, and building ETL/ELT pipelines
4+ years of experience with one or more query languages (SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala)
Experience with Python or another scripting language for data processing
Knowledge of data schema design including normalization, relational models, and dimensional models
Cross team collaboration skills and effective written and verbal communication when interfacing with stakeholders, peers, and executives
Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, continuous deployments, testing, and operational excellence
Experience using BI tools such as Tableau or QuickSight to visualize data

Technologies

Hadoop, Hive, Spark, EMR
SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala
Python
Tableau, QuickSight
AWS: S3, Redshift, SageMaker, Kinesis, Lambda, EC2
Informatica, Airflow, ODI, SSIS, BODI, Datastage

Benefits

Health insurance
Employee Assistance Program EAP
Mental health support
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign on payments
Restricted stock units RSUs

Preferred Qualifications

Advanced Degree MS in engineering, technology, statistics, analytics, or finance
Experience using BI tools Tableau, QuickSight to visualize data
Experience developing, scaling, and governing global operations standards and infrastructure across matrixed organizations
Experience with ETL tools such as Informatica, Airflow, ODI, SSIS, BODI, or Datastage
Experience architecting and operating solutions built on AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
Experience in large scale workforce, operations, or capacity planning functions
Experience in data mining and working with large scale, complex datasets in a business environment
Experience in statistical analysis using tools such as R, SAS, or Matlab

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2mo ago

Data Engineer

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

2mo ago Closed

$132k - $206k/yr Full time Python Amazon Emr Amazon Web Services

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Onsite Data Engineer role in Bellevue, WA, joining Amazon's PXT Central Science team to build scalable data pipelines, feature extraction, and production-ready analytics.

Responsibilities

Data Pipeline Development: design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); implement monitoring and error handling for data workflows; optimize for performance, reliability, and cost efficiency
Model Productionization and API Development: build and maintain APIs and data serving layers that productionize science models for downstream use; create batch and real-time inference pipelines
Data Integration and Quality: develop scalable feature extraction and processing frameworks for diverse data types; implement robust data quality and validation checks; design flexible schemas to support evolving requirements
Cross-team Collaboration: partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions
Analytics and Infrastructure: maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices

Requirements

Proficiency in professional software engineering practices across the full software development lifecycle, including coding standards, architectures, code reviews, source control, CI/CD, testing, and operational excellence
3+ years of data engineering experience
Experience with at least one modern programming language such as Python, Java, Scala, or NodeJS
Experience with data modeling, data warehousing, and building ETL pipelines
Experience with AWS technologies including Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non-relational databases or data stores (object storage, document or key-value stores, graph databases, column-family databases)
Bachelor's degree or foreign equivalent in computer science, engineering, mathematics, or related field

Technologies

Python
Java
Scala
NodeJS
AWS Glue
AWS EMR
AWS Lambda
Amazon Redshift
Amazon S3
Amazon Kinesis
Amazon Firehose
IAM
Hadoop
Hive
Spark

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription; Basic Life and AD&D; option for supplemental life plans; EAP; mental health support; medical advice line; FSAs; adoption and surrogacy reimbursement)
401(k) matching
Paid time off
Parental leave

About the Team

The Central Science Team within Amazon’s People Experience and Technology organization (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that enhance Amazon and the lives, well-being, and value of work for Amazonians. This interdisciplinary group blends science, engineering, and UX to deliver solutions with measurable impact.

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2mo ago

Data Engineer

Deloitte Sacramento, CA

Sacramento, CA

2mo ago Closed

$98k - $163k/yr Full time Data Engineer Data Warehouse Database

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Based in Sacramento and on site, this Data Engineer III role sits within Deloitte's AI & Engineering team, concentrating on Teradata database administration, performance optimization, and close collaboration across data operations and analytics initiatives. The position blends hands-on management of Teradata environments with cross-functional communication to keep systems reliable and analytics-ready. The compensation range for this role is USD 97,900 to 163,100 per year, and it requires a bachelor’s degree along with substantial Teradata DBA experience.

Responsibilities

Administer Teradata environments end to end, covering servers, databases, partitions, tables, indexes, and storage structures to ensure reliability and uptime.
Tune SQL queries and optimize performance to enhance overall database efficiency and responsiveness.
Oversee Teradata utilities such as BTEQ, load utilities, and workload management tools to support data processing tasks.
Monitor system health, plan maintenance, and proactively apply upgrades, patches, and performance improvements.
Engage with cross-functional stakeholders to report on Teradata health, troubleshoot issues, and provide timely updates.

Requirements

Bachelor's degree.
Authorized to work in the United States without employer sponsorship now or in the future.
Ability to obtain and maintain the necessary security clearance for the role.
8+ years of experience as a Teradata DBA with strong database administration and system management capabilities.
2+ years of experience with Teradata utilities (BTEQ, load management, query execution management) and user/database administration.
2+ years of SQL experience with proven performance tuning and query optimization skills.
Willingness to travel approximately 5-20% based on client needs and project requirements.
Ability to work independently and also collaborate effectively within a team.
Strong written and verbal communication abilities.
Attention to detail and a commitment to high-quality work products.
Capacity to build and maintain professional relationships.
Ability to lead projects or workstreams and manage multiple tasks in a fast-paced environment.
Solid interpersonal skills and professional demeanor.
Ability to meet deadlines and provide clear guidance to others.

Technologies

Teradata
BTEQ
Load Utilities
SQL

Benefits

Competitive benefits package for project delivery-focused professionals
Discretionary annual incentive program

The Team

Deloitte's Government & Public Services (GPS) practice emphasizes impact through people, ideas, technology, and outcomes. It serves federal, state, and local government clients as well as public higher education institutions. The team aims to help clients anticipate disruption, reimagine what's possible, and fulfill mission commitments. The AI and Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and analytics capabilities.

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2mo ago

Project - Data Engineer

Deloitte Kansas City, MO

Kansas City, MO

2mo ago Closed

$57k - $96k/yr Full time Amazon Web Services AWS Aws Glue

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Join Deloitte as a Project - Data Engineer in Kansas City, onsite. This role offers a salary range of USD 57,300 - 95,500 per year and a discretionary annual incentive program. You will contribute to the Project Delivery Model by building data pipelines on AWS, maintaining Snowflake objects, safeguarding data quality, and guiding client engagement workstreams. The position sits onsite in Kansas City, MO and provides opportunities to collaborate with cross functional teams while advancing data engineering practices.

Benefits

Discretionary annual incentive program.

The Team

AI & Data - AI and Engineering leverages advanced engineering capabilities to build, deploy, and operate integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure. The team focuses on transforming engineering practice to modernize technology and data platforms and to drive business value for clients.

Responsibilities

Build and improve data pipelines on AWS using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Develop and maintain Snowflake objects (schemas, tables, views) and implement performant SQL transformations to produce curated, analytics-ready datasets.
Implement workflow automation and scheduling with proper dependencies, retries, and logging using tools such as Airflow/MWAA, Step Functions, and Glue.
Apply data quality checks and basic observability, support incident triage and remediation.
Optimize pipeline and query performance with guidance on efficient Python usage, S3 partitioning and file formats, Snowflake warehouse usage, and query tuning.
Follow CI/CD and IaC standards (Git-based workflows, Terraform/CloudFormation) to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging; learn and apply team engineering standards.
Communicate regularly with Engagement Managers, project team members, and stakeholders from various functional and technical teams, escalating as needed.
Independently and collaboratively lead client engagement workstreams aimed at improvement, optimization, and transformation of processes, including implementing leading practice workflows and driving operational outcomes.

Requirements

1+ year of experience building or enhancing data pipelines and curated datasets for analytics and downstream consumers.
1+ year hands-on experience with SQL and Python, including Snowflake and/or PySpark for transformations and scalable processing.
1+ year of cloud data engineering experience on AWS (preferred) or Azure/GCP, including orchestration/scheduling (Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
Understanding of ELT patterns and Lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet/Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Understanding data quality, basic observability, and metadata/governance fundamentals.
Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel 10% on average, depending on client and project needs.