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1mo ago

Data Engineer

Tesla Brookshire, TX

Brookshire, TX

1mo ago Closed

Full time Big Data Bigdata Data

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

The Data Center Manufacturing Quality Team in Houston is hiring a Data Engineer to support Quality Engineering initiatives onsite at Tesla in Brookshire, TX. The role emphasizes production control automation, data pipeline and database work, defect prediction and statistical analysis, and live visualization to support quality assurance.

Responsibilities

Define requirements and validate manufacturing execution systems
Analyze manufacturing, equipment, and field data to extract statistics and insights about failures that improve production quality and customer experience
Partner with Engineers to perform end-to-end analyses, including data requirement gathering, data processing, and modeling
Monitor key product metrics and understand root causes behind changes
Interpret data, analyze results using statistical techniques, and deliver ongoing reporting
Identify, analyze, and interpret trends or patterns in complex datasets and communicate findings through dashboards and reports
Maintain existing data visualizations and data pipelines, and support dashboard enhancement requests
Acquire data from primary or secondary sources and maintain databases and data systems to enable operational and exploratory analysis
Perform data quality validations to ensure data is created according to business needs and expectations

Requirements

Degree in Engineering or equivalent experience
Extensive experience writing software with Python
Experience with multiple data architecture paradigms, such as SQL, NoSQL, Kafka, and Spark
Experience and interest in frontend development, preferably with the JavaScript React framework
Knowledge of data communication protocols, such as REST API and WebSocket
Ability to work under pressure while collaborating and managing competing demands with tight deadlines

Technologies

Python, SQL, NoSQL, Kafka, Spark, JavaScript, React, REST API, WebSocket

Benefits

Medical plans with more plan options than with $0 payroll deduction
Family-building, fertility, adoption, and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both with $0 paycheck contribution
Company-paid Health Savings Account (HSA) contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company-paid Basic Life and AD&D
Short-term and long-term disability insurance with a 90 day waiting period
Employee Assistance Program
Sick and vacation time (Flex time for salary positions, accrued hours for hourly positions) and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Teslas Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

This onsite role supports automation of production controls, defect prediction, advanced statistics, and data pipeline automation, along with maintaining related databases. It also includes creating live visualization tools to enable quality assurance for manufacturing quality initiatives.

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1mo ago

Data Engineer

Tesla Austin, TX

Austin, TX

1mo ago Closed

Full time Analytics Apache Airflow Artificial Intelligence

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

As part of Tesla’s Manufacturing Quality organization, this role focuses on building the data foundation that helps vehicle engineers make quality decisions with evidence. You will design and maintain scalable pipelines and workflows, then extend that capability through full-stack applications and AI agents that support defect analysis and root-cause investigations in a high-volume manufacturing setting.

What you’ll do

Design, build, and maintain scalable data pipeline architecture, improving and standardizing ETL/ELT automation processes.
Drive process improvements such as automating manual workflows, optimizing queries, and performing infrastructure redesigns to improve reliability and scale.
Design and develop full-stack web applications for defect analysis and investigation, including backend services, REST APIs, access control, and frontend interfaces.
Develop AI agents and retrieval systems to automate quality workflows and generate preliminary root-cause investigations for engineering review.
Evaluate agent performance for accuracy, groundedness, and appropriate handoff to engineering review.
Create visualizations, dashboards, and reports using Tableau, React, or Grafana to monitor key metrics and support decision-making.
Perform end-to-end analyses from requirements gathering through data processing, modeling, statistical analysis, and root-cause investigation for system and metric changes.

What you’ll bring

A degree in Computer Science, Data Engineering, Data Science, Statistics, or an engineering discipline (or equivalent experience).
2+ years of experience in data engineering, software engineering, or a related field.
Proficiency in Python and SQL.
Experience building and operating production ETL pipelines with Apache Airflow or an equivalent orchestration tool.
Experience in full-stack development, including backend services and frontend interfaces, preferably with React.
Hands-on experience developing AI agents and RAG (retrieval-augmented generation) systems, including tool calling, orchestration, embeddings, vector stores, and evaluation of output quality.
Experience building analytical dashboards using Streamlit, Grafana, Tableau, Power BI, or similar tools.
Experience with Git, code review, and CI/CD.
Experience across multiple data architecture paradigms including SQL, NoSQL, Kafka, and Spark, plus communication protocols such as REST and WebSocket.
Experience deploying and operating production services on Kubernetes.

Technology stack

Python, SQL, Apache Airflow
React, Tableau, Grafana, Streamlit, Power BI
Git, CI/CD
NoSQL, Kafka, Spark
REST APIs, WebSocket
Kubernetes, ETL/ELT, RAG, retrieval-augmented generation, embeddings, vector stores, tool calling

Benefits

Medical plans with > plan options and $0 payroll deduction.
Family-building, fertility, adoption and surrogacy benefits.
Dental (including orthodontic coverage) and vision plans, both with options and $0 paycheck contribution.
Company-paid HSA contribution when enrolled in the High-Deductible medical plan with HSA.
Healthcare and Dependent Care Flexible Spending Accounts (FSA).
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
Company paid Basic Life, AD&D.
Short-term and long-term disability insurance (90 day waiting period).
Employee Assistance Program.
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays.
Back-up childcare and parenting support resources.
Voluntary benefits: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance.
Weight Loss and Tobacco Cessation Programs.
Teslа Babies program.
Commuter benefits.
Employee discounts and perks program.

Location: Austin, TX (onsite). Minimum experience: 2 years.

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1mo ago

Lead Data Engineer

Manpower Engineering Westmont, IL

Westmont, IL

1mo ago Closed

$70 - $75/hr Full time Backend Developer Artificial Intelligence Azure

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Join Manpower Engineering in Westmont, IL (onsite) as a Lead Data Engineer supporting the Leasing Data Engineering group. This role focuses on modernizing data architecture and building AI-ready data solutions for leasing transaction and related datasets. You will design and deliver a governed data foundation, develop reliable pipelines, and expose data through APIs for enterprise and downstream consumers.

Compensation: $70 to $75 per hour. Experience: 7+ years in data engineering and Big Data development.

What you will deliver

Design and deliver data models and architecture for leasing transaction, broker, CRM, and market availability data.
Build and optimize cloud-based pipelines and platform components on Azure and/or AWS, migrating siloed sources into a unified, governed data layer.
Develop robust batch and incremental pipelines using Python/PySpark and SQL, focused on production readiness and fault tolerance.
Create data products, semantic structures, and API/MCP interfaces for AI systems and analytics applications.
Implement integration services and APIs that expose leasing data to enterprise applications and downstream consumers.

What you bring

7+ years of experience in data engineering and Big Data development, with a proven track record delivering complex projects.
Hands-on experience with cloud data platforms on Azure or AWS, including services such as Databricks, Data Factory, Synapse, Glue, or EMR.
Advanced proficiency in Python and SQL, including expertise with PySpark/Spark for distributed processing at scale.
Strong skills in data modeling and architecture, with experience using SQL and NoSQL databases.
Experience designing and building API services and integrating data platforms with downstream applications, including familiarity with AI/agentic workflows and MCP integrations.

Tools and technologies you’ll work with

Azure, AWS, Databricks, Data Factory, Synapse, Glue, EMR, Python, PySpark, Spark, SQL, NoSQL, API, MCP, AI

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

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1mo ago

Data Engineer

Tarrant County College Texas

Texas

1mo ago Closed

$89k+/yr Full time Azure Azure Data Factory Azure Logic Apps

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Tarrant County College is seeking a Data Engineer to help engineer and support enterprise data solutions across the College’s Ellucian Banner SaaS environment and connected enterprise data ecosystem. The role focuses on dependable, secure, and scalable access to institutional data that supports reporting, analytics, regulatory compliance, and day-to-day operational decisions. This position works under the supervision of the assigned department leader and contributes to the College’s mission, values, goals, and principles.

Key Responsibilities

Provide technical leadership for enterprise data engineering initiatives, including designing, developing, implementing, operating, monitoring, and supporting enterprise data pipelines and integrations for the Ellucian Banner SaaS environment and related internal or third-party applications.
Partner with project teams, ERP functional analysts, integration architects, reporting teams, and business stakeholders to define business and technical requirements; translate requirements into scalable data solutions; and communicate solution approaches, technical impacts, risks, and implementation recommendations.
Design and support batch, event-driven, and API-enabled data movement patterns between Banner SaaS, cloud data platforms, integration platforms, reporting systems, and third-party applications.
Develop and maintain data models, data structures, data mappings, metadata, and technical documentation to support reporting, analytics, integrations, conversions, and operational processes.
Implement data quality controls, reconciliation processes, exception handling, and monitoring to maintain data accuracy, completeness, consistency, and reliability.
Lead resolution of complex production data issues, including pipeline failures, integration errors, and post-deployment performance problems, performing root cause analysis and coordinating corrective actions with internal teams, vendors, and implementation partners.
Create and maintain design documentation and operational materials such as data flow diagrams, support procedures, runbooks, and project or architecture review materials to support knowledge transfer, audit readiness, and operational continuity.
Act as a data steward to support data governance practices, including data lineage, metadata management, data definitions, access controls, retention considerations, and compliance-related documentation.
Coordinate with Identity and Access Management, Information Security, database administration, cloud services, and infrastructure teams to ensure secure and compliant data access and data movement.
Monitor emerging technologies, Banner SaaS data capabilities, cloud data services, and industry best practices to identify opportunities for continuous improvement and long-term sustainability.
Participate on the College’s behalf in external community organizations and associations as assigned to support essential performance requirements.
Attend the workplace regularly, report to work punctually, and follow the work schedule to meet site demands.
Complete required training and professional development sessions sponsored through Tarrant County College (TCC).
Perform other related tasks as required.

Required Qualifications

Bachelor’s degree and five (5) years of working experience related to the Essential Performance Requirements, or an equivalent combination of education and experience.
At least one (1) year of experience supporting Ellucian Banner, higher education ERP systems, or SaaS-based enterprise applications.
At least one (1) year of experience developing or supporting data pipelines, ETL/ELT processes, data integrations, or data services in a cloud environment.
At least one (1) year of experience with SQL, relational databases, data modeling, data warehousing, or enterprise reporting and analytics platforms.
At least one (1) year of experience with Microsoft Azure data and integration technologies such as Azure Data Factory, Azure SQL, Synapse, Fabric, Logic Apps, Functions, or related cloud data services.
At least one (1) year of experience with APIs, JSON, XML, delimited files, secure file exchange, data transformation, and data validation techniques.
Knowledge of data engineering principles and technologies, including ingestion, transformation, orchestration, storage, monitoring, and operational support.
Knowledge of relational databases, SQL development, data modeling, metadata management, data warehousing, lakehouse concepts, and enterprise reporting dependencies.
Knowledge of SaaS application data patterns, ERP data structures, integration methods, APIs, secure data exchange, and cloud-based data architecture concepts.
Knowledge of data quality, data governance, data lineage, access controls, privacy, compliance, and secure data handling practices.
Skilled in designing, developing, testing, documenting, and supporting reliable data pipelines and reusable data services.
Skilled in troubleshooting complex data issues, analyzing root causes, resolving data discrepancies, and communicating technical findings clearly.
Skilled in translating business and reporting requirements into technical data designs, data mappings, transformation logic, and supportable solutions.
Skilled in customer service and interpersonal relationships, including strong listening, verbal, and written communication skills.
Skilled in using computer applications and enterprise systems, including the Microsoft Office suite and Microsoft 365 platform.
Ability to perform and prioritize multiple tasks accurately and on time with strong attention to detail and organization.
Ability to work both independently and as part of a team with faculty, staff, vendors, and external stakeholders.
Ability to think critically to solve and communicate problems in a fast-paced environment with varied and unpredictable work demands.
Ability to analyze data and provide recommendations based on policy, procedure, practice, technical standards, and existing regulations.
Ability to coordinate assigned work and communicate effectively with faculty and staff to support campus and departmental operations.
Ability to maintain diplomacy, tact, and confidentiality with sensitive information.

Technologies

Ellucian Banner SaaS
ETL/ELT
SQL, relational databases, data modeling, data warehousing, lakehouse concepts
Enterprise reporting and analytics platforms
Microsoft Azure, Azure Data Factory, Azure SQL, Synapse, Fabric, Logic Apps, Functions
APIs, JSON, XML, delimited files, secure file exchange
Identity and Access Management, Information Security
Microsoft Office suite, Microsoft 365 platform

Work Location, Compensation, and Schedule

Location: Texas (onsite)
Salary: USD 89,100 per year

Accommodation / EEO Statement

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

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1mo ago

Data Engineer 4 (Manager, IC)

Capital One New York, NY

New York, NY

1mo ago Closed

$215k - $246k/yr Full time Manager Big Data Bigdata

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Capital One is building robust, cloud-first data capabilities to support a major transformation, with a focus on scalable, secure data pipelines and platforms. This role partners closely with product managers and software engineers while working within Agile teams to design, develop, test, implement, and support end-to-end solutions. You will also contribute as a technical influencer and mentor, helping drive shared understanding of data outcomes across stakeholders.

What you’ll do

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
Influence a team of developers, data analysts, and data scientists with experience spanning machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Build using Python and Spark, leveraging open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
Design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers
Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across pipelines and platforms
Create data pipelines and platforms focused on scalability, resilience, and operational efficiency, maintaining performance as data volume and business demands grow
Implement data security standards, including encryption at rest and in transit and fine-grained access control, aligned to data privacy regulations
Serve as an ambassador for the data engineering team by communicating technical concepts and data outcomes clearly to internal and external stakeholders
Stay current with data trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor other members of the data community

Technology focus

Python, Spark, SQL, Databricks, Snowflake
NoSQL and open-source relational databases
Encryption at rest and transit, fine-grained access control

Requirements

Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 4 years of experience in application development (internship experience does not apply)
At least 2 years of experience in distributed data
At least 2 years of experience with SQL
At least 2 years of experience with one programming language: Python, Java, or Scala
At least 2 years of experience in data pipeline design and development
At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Preferred qualifications

7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
2+ years of experience working in an Agile development environment
2+ years of experience developing user-centric reusable data products

Location and compensation

New York, NY (onsite): USD 215,200 - 245,600 per year
McLean, VA: USD 197,300 - 225,100 per year

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

Additional eligibility and employment information

Capital One will not sponsor a new applicant for employment authorization or provide immigration related support for this position.
This role may be eligible for performance-based incentive compensation, including cash bonus(es) and/or long term incentives (LTI).
Capital One expects to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE), committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
If you need an accommodation to apply, contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
For technical support or questions about the recruiting process, email Careers@capitalone.com.

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1mo ago

Senior Human Resources Data Analytics and Statistical Analyst

Crossroads Talent Solutions Columbus, OH

Columbus, OH

1mo ago Closed

Full time Senior Data Analytics Data Visualization

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

The Senior Human Resources Data Analytics and Statistical Analyst role at Crossroads Talent Solutions supports the Ohio National Guard Human Resources Office by transforming personnel, manpower, and financial information into forecasts, models, dashboards, and leadership briefings. The position includes hands-on statistical analysis and clear communication of findings to Government leaders.

Responsibilities

Analyze personnel strength, accessions, attrition, promotions, retirements, funding, obligations, and disbursements to identify trends and emerging resource requirements.
Develop, refine, and maintain statistical, predictive, and optimization models supporting workforce planning, lifecycle forecasting, and talent management.
Apply appropriate analytical methods, including regression, hypothesis testing, variance analysis, and queueing theory, and document assumptions, data sources, methods, and results.
Build and maintain dashboards and performance metrics for Human Resources Office workflows, including transaction volumes, processing times, and workforce trends.
Extract, validate, reconcile, and analyze information from authorized Army and National Guard personnel, financial, and data systems.
Produce recurring financial and workforce analyses, leadership briefings, technical reports, and short-notice analytical products.
Evaluate data quality and model accuracy, investigate discrepancies, and recommend improvements to analytical processes.
Coordinate with Government personnel to understand analytical needs and present findings, providing advisory analysis while Government personnel retain responsibility for official decisions and actions.
Protect sensitive information and follow applicable requirements for Government system access, privacy, training, and documentation.

Requirements

At least 15 years of relevant experience in the core functional area or areas covered by this position.
Demonstrated experience analyzing military personnel, manpower, workforce, or financial data in an Army or National Guard environment.
Advanced capability to produce statistical analyses, forecasts, models, and clear recommendations from complex datasets.
Strong Microsoft Excel skills, including complex formulas, and experience with VBA or macros where needed.
Experience using SQL to extract and manage data, and to develop analytical reports or dashboards.
Ability to write technical findings and brief senior leaders in clear, practical terms.
Ability to meet Government suitability, background investigation, installation access, and system access requirements, including a favorable Tier 1/NACI investigation or equivalent as required for the assignment.

Technologies

Microsoft Excel, VBA, SQL, Power BI, Tableau, Python, STATA
GFEBS, PBAS, RM Online, FTSMCS, DPRO, IPPS-A, RCMS-G, Army Vantage

Benefits

Medical/Dental/Vision Benefits Offered
401k
Life Insurance plans
Employee Health and Wellness program

Relevant Experience

Experience with AGR, MILTECH, and FTS programs; federal budget execution and PPBE; Army and National Guard personnel systems; and tools such as GFEBS, PBAS, RM Online, FTSMCS, DPRO, IPPS-A, RCMS-G, Army Vantage, Power BI, Tableau, Python, or STATA is especially relevant. Candidates should identify the systems and analytical methods they have used directly.

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1mo ago

IH Data Analyst 1

Atlas Bethpage, NY

Bethpage, NY

1mo ago Closed

$34 - $35/hr Full time Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Atlas is seeking an IH Data Analyst 1 in Bethpage, NY to support data analysis efforts and conduct site inspections for AHERA at schools across the five boroughs. The role combines field activity with accurate data entry into the DOE Access database and analysis work tied to multiple projects.

Role Overview

In this full-time, entry-level position, you will contribute to on-site inspection and field activities, enter information into the DOE Access database, and carry out data analysis for project needs. The work is based in Bethpage, NY and performed onsite.

Responsibilities

Assist with on-site inspections and field activities.
Perform data entry into the DOE Access database.
Conduct data analysis for various projects.

Required Qualifications

Bachelor's degree in computer science or environmental studies.
Minimum three (3) years of experience in computer science and/or environmental work.
Excellent verbal and written communication skills.
NYS Asbestos Inspector License.
Proficiency with Microsoft Office.
Ability to travel, at least 30 miles.
Detail-oriented approach to work.

Technologies

DOE Access database
Microsoft Office

Compensation and Employment Details

Location: Bethpage, NY (onsite)
Employment Type: Full-time
Compensation: USD 34 to 35 per hourly rate
Career Level: Entry

Benefits

Medical, dental and vision coverage with multiple plan options, including no-cost employee-only medical coverage.
Vacation time, paid holidays, sick & safety leave (SSL) and paid parental leave.
401(k) and company match.
Life, AD&D (Accidental Death & Dismemberment) and Disability insurance.
Approved PPE at no cost and reimbursement for prescription safety glasses and protective footwear.
Clear career paths, learning resources and development programs, including internal certifications and tuition reimbursement.
Employee Communities (ECs), voluntary, employee-led groups.
Reasonable accommodation.

What to Expect

A-Team Experience focused on supporting employees in professional growth, personal development, and community involvement.
Flexibility may vary by project demands and regional workloads.

$146k - $244k/yr Full time Manager Artificial Intelligence Big Data

1mo ago

Sr Data Scientist, Last Mile Science and Analytics

Palo Alto, CA

1mo ago Closed

$180k - $240k/yr Full time Ai Engineer Artificial Intelligence Engineer

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