Data Engineer
Apex Systems, New York, NY, United States
Ford Motor Company
Hybrid On-Site Dearborn MI
12+ Month Contract
$60-75/HR
Senior Data Engineer Full Stack- We're seeking a hands-on Senior Data Engineer with 7+ years in data engineering and 10+ years in software to design, build, and operate scalable, enterprise-grade data platforms on Google Cloud Platform. You will own end-to-end data pipelines (ETL/ELT) delivering analytics-ready data in BigQuery, implement and drive data governance, quality, and observability. You'll lead cross-functional teams, collaborate with analytics and product stakeholders, and optimize cost and reliability through IaC (Terraform) and CI/CD, using orchestration (Airflow/Astronomer or Schedule Query) and modern BI/observability tools to deliver actionable insights from telemetry and other enterprise data.
As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures. You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices. By collaborating with cross-functional stakeholders and optimizing cloud performance, you will ensure the data platform remains secure, cost-effective, and highly available to power critical business insights.
• Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
• Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
• Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics.
• Mentorship: Elevating the team through code reviews and documentation standards.
• Technical Leadership: Designing end-to-end ETL/ELT pipelines and migrating assets to centralized platforms like BigQuery.
Key Responsibilities
• Design and implement end-to-end data pipelines (ETL/ELT) that ingest, process, and curate large-scale enterprise data, including telemetry/vehicle data and other structured/unstructured sources.
• Migrate and modernize data assets to a centralized data platform (e.g., BigQuery) using principled data lake/warehouse architectures (Bronze/Silver/Gold or Medallion architecture) to power analytics and reporting.
• Architect scalable data models and data warehouses, optimizing for query performance, maintainability, and cost efficiency.
• Develop and operate robust orchestration pipelines using Airflow/Astronomer or Schedule Query, with secure, reproducible CI/CD workflows (Terraform + Git).
• Build and maintain reliable data quality checks, lineage, and monitoring with observability tools (e.g., Splunk, Looker/Grafana/Tableau/Power BI dashboards) to rapidly detect and resolve data issues.
• Implement data governance, security, and compliance controls (data lineage, access controls, PII/PHI protection) in collaboration with security and privacy teams.
• Lead the design and delivery of analytics-ready data assets for cross-functional teams, including dashboards, alerts, and self-service analytics.
• Mentor and coach junior engineers, review code, and drive best practices in data engineering, testing, and documentation.
• Collaborate with data scientists, product managers, and business stakeholders to translate requirements into scalable data solutions and timely insights.
• Monitor cost and capacity planning for cloud resources; optimize storage and compute usage across GCP services (BigQuery, Dataflow, Dataproc, GCS).
• Participate in on-call rotations and incident response to maintain high availability of data services.
• Master's Degree and/or equivalent education and experience
• 7+ years of experience in data engineering, data platforms, or a similar role.
• 4+ years of hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Dataproc; Schedule Query or equivalent scheduling/orchestration) or AWS.
• 4+ years experience in Python and SQL; strong experience with PySpark is a plus.
• 4+ years experience with ETL/ELT design, data modeling, data warehousing, and data governance.
Senior Data Engineer
High
Level Overview
Ford is hiring a Senior Data Engineerto work on large scale, production data systems. This is not a basic data engineering role focused on writing isolated Python scripts or SQL queries.
The emphasis is on:
Data architecture
Streaming data
Production grade pipelines
Handling scale and failure
This role requires systems thinking, not just data manipulation.
What the Role Is Focused On
Designing and building data pipelinesthat operate at scale
Working with large, complex datasetsin production
Supporting streaming and near real time data flows
Debugging and resolving production data issues
Participating in data modeling and architecture decisions
This is about how data moves through systems, not just querying it once it arrives.
Technology & Stack Context
Python(core language)
BigQuery(current data platform)
GCP(current cloud), but:
Cloud agnostic mindset is acceptable
AWS or Azure experience can translate
Ideal Candidate Profile
You're looking for someone who:
Has built production data pipelines
Has worked with streaming data
Understands data modeling
Has dealt with failures at scale
Thinks in terms of systems and architecture
Can explain why a pipeline is designed a certain way
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details.
Everforth Apex Benefits Overview:
Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Hybrid On-Site Dearborn MI
12+ Month Contract
$60-75/HR
Senior Data Engineer Full Stack- We're seeking a hands-on Senior Data Engineer with 7+ years in data engineering and 10+ years in software to design, build, and operate scalable, enterprise-grade data platforms on Google Cloud Platform. You will own end-to-end data pipelines (ETL/ELT) delivering analytics-ready data in BigQuery, implement and drive data governance, quality, and observability. You'll lead cross-functional teams, collaborate with analytics and product stakeholders, and optimize cost and reliability through IaC (Terraform) and CI/CD, using orchestration (Airflow/Astronomer or Schedule Query) and modern BI/observability tools to deliver actionable insights from telemetry and other enterprise data.
As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures. You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices. By collaborating with cross-functional stakeholders and optimizing cloud performance, you will ensure the data platform remains secure, cost-effective, and highly available to power critical business insights.
• Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
• Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
• Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics.
• Mentorship: Elevating the team through code reviews and documentation standards.
• Technical Leadership: Designing end-to-end ETL/ELT pipelines and migrating assets to centralized platforms like BigQuery.
Key Responsibilities
• Design and implement end-to-end data pipelines (ETL/ELT) that ingest, process, and curate large-scale enterprise data, including telemetry/vehicle data and other structured/unstructured sources.
• Migrate and modernize data assets to a centralized data platform (e.g., BigQuery) using principled data lake/warehouse architectures (Bronze/Silver/Gold or Medallion architecture) to power analytics and reporting.
• Architect scalable data models and data warehouses, optimizing for query performance, maintainability, and cost efficiency.
• Develop and operate robust orchestration pipelines using Airflow/Astronomer or Schedule Query, with secure, reproducible CI/CD workflows (Terraform + Git).
• Build and maintain reliable data quality checks, lineage, and monitoring with observability tools (e.g., Splunk, Looker/Grafana/Tableau/Power BI dashboards) to rapidly detect and resolve data issues.
• Implement data governance, security, and compliance controls (data lineage, access controls, PII/PHI protection) in collaboration with security and privacy teams.
• Lead the design and delivery of analytics-ready data assets for cross-functional teams, including dashboards, alerts, and self-service analytics.
• Mentor and coach junior engineers, review code, and drive best practices in data engineering, testing, and documentation.
• Collaborate with data scientists, product managers, and business stakeholders to translate requirements into scalable data solutions and timely insights.
• Monitor cost and capacity planning for cloud resources; optimize storage and compute usage across GCP services (BigQuery, Dataflow, Dataproc, GCS).
• Participate in on-call rotations and incident response to maintain high availability of data services.
• Master's Degree and/or equivalent education and experience
• 7+ years of experience in data engineering, data platforms, or a similar role.
• 4+ years of hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Dataproc; Schedule Query or equivalent scheduling/orchestration) or AWS.
• 4+ years experience in Python and SQL; strong experience with PySpark is a plus.
• 4+ years experience with ETL/ELT design, data modeling, data warehousing, and data governance.
Senior Data Engineer
High
Level Overview
Ford is hiring a Senior Data Engineerto work on large scale, production data systems. This is not a basic data engineering role focused on writing isolated Python scripts or SQL queries.
The emphasis is on:
Data architecture
Streaming data
Production grade pipelines
Handling scale and failure
This role requires systems thinking, not just data manipulation.
What the Role Is Focused On
Designing and building data pipelinesthat operate at scale
Working with large, complex datasetsin production
Supporting streaming and near real time data flows
Debugging and resolving production data issues
Participating in data modeling and architecture decisions
This is about how data moves through systems, not just querying it once it arrives.
Technology & Stack Context
Python(core language)
BigQuery(current data platform)
GCP(current cloud), but:
Cloud agnostic mindset is acceptable
AWS or Azure experience can translate
Ideal Candidate Profile
You're looking for someone who:
Has built production data pipelines
Has worked with streaming data
Understands data modeling
Has dealt with failures at scale
Thinks in terms of systems and architecture
Can explain why a pipeline is designed a certain way
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details.
Everforth Apex Benefits Overview:
Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.