Data Scientist

This role focuses on designing, developing, and maintaining enterprise data infrastructure to support advanced analytics across engineering and business teams. The Data Engineer builds scalable data pipelines, ensures data integrity and accessibility, and enables reporting and dashboards that transform raw data into actionable insights. The position supports enterprise data architecture and governance, particularly across cloud platforms and business intelligence tools, while working closely with cross-functional stakeholders in a fast-paced engineering environment.

Responsibilities

• Design, build, and maintain scalable data pipelines and data storage solutions to support enterprise analytics and reporting.
• Integrate data from multiple sources, including databases, APIs, and enterprise platforms, into centralized data warehouses or data lakes.
• Transform raw data into structured, analytics-ready datasets that support dashboards, reports, and advanced analytics use cases.
• Ensure data accuracy, consistency, and integrity through robust validation, quality control, and monitoring processes.
• Optimize data pipelines and storage solutions for performance, scalability, and reliability in cloud and on-premises environments.
• Support data architecture governance by identifying and maintaining authoritative sources of truth (ASOT) for key data domains.
• Enable and manage data replication, transformation, and synchronization across enterprise platforms such as AWS and Power BI.
• Collaborate with data scientists, analysts, engineers, and business stakeholders to gather requirements and translate them into technical data solutions.
• Develop and maintain data models and documentation that support enterprise reporting and analytics.
• Troubleshoot data issues, diagnose root causes, and implement corrective actions to maintain system performance and data quality.
• Work cross-functionally with engineering and stakeholder teams to align data solutions with program and business objectives.
• Apply strong analytical skills, including statistics, probability, and mathematical modeling, to support data-driven decision-making.
• Participate in Agile/Scrum activities and contribute to continuous improvement of data engineering processes and practices.
• Manage multiple priorities and projects in a fast-paced environment while maintaining high standards of quality and organization.

• Proven experience in data engineering and data infrastructure design, including pipelines, data warehouses, and databases.
• Strong proficiency in SQL and experience with Oracle databases.
• Hands-on experience with AWS and Redshift for cloud-based data solutions.
• Proficiency with Power BI for data transformation, reporting, and dashboard development.
• Experience in data pipeline development using ETL/ELT tools and frameworks.
• Practical experience with data validation, quality control, and data governance, including familiarity with authoritative sources of truth (ASOT).
• Strong analytical skills, including knowledge of statistics, probability, and mathematical modeling.
• Experience working cross-functionally with engineering teams and business stakeholders.
• Strong written and verbal communication skills, with the ability to explain complex data concepts to non-technical audiences.
• Ability to work both independently and collaboratively within team environments.
• Demonstrated experience translating data into actionable insights that support decision-making.
• Strong troubleshooting and problem-solving abilities in data and system environments.
• Ability to manage multiple priorities effectively in a fast-paced setting.
• High attention to detail and strong organizational skills.
• Experience developing data requirements and data models to support analytics and reporting.

• Experience with Midas, SSAS, Alation, and Dataiku for data management and analytics.
• Familiarity with MATLAB/Simulink, Mathcad, and MagicDraw in engineering and modeling contexts.
• Exposure to Agile/Scrum methodologies, including tools such as Jira or ServiceNow.
• Knowledge of combat vehicle systems or defense-related programs.
• Experience with structured problem-solving methodologies.
• Understanding of Agile metrics and reporting practices.
• Systems engineering knowledge or familiarity with engineering processes.

The position operates in a hybrid work model, with three days onsite and two days remote each week, providing a balance of in-person collaboration and focused remote work. The role follows a 9/80 schedule, offering every other Friday off while maintaining full-time hours. You will work in a fast-paced, cross-functional engineering environment alongside data scientists, analysts, and engineering teams, collaborating on complex, large-scale data systems that support advanced engineering programs. The environment offers exposure to modern data tools and cloud technologies such as AWS and Power BI and provides opportunities to contribute to enterprise-level data strategy and architecture.

Job Type & Location

This is a Contract to Hire position based out of Sterling Heights, MI.

The pay range for this position is $53.00 - $54.00/hr.

Eligibility requirements apply to some benefits and may depend on your job

classification and length of employment. Benefits are subject to change and may be

subject to specific elections, plan, or program terms. If eligible, the benefits

available for this temporary role may include the following:

Medical, dental & vision

Critical Illness, Accident, and Hospital

401(k) Retirement Plan Pre-tax and Roth post-tax contributions available

Life Insurance (Voluntary Life & AD&D for the employee and dependents)

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick Leave)

This is a hybrid position in Sterling Heights,MI.

This position is anticipated to close on Jun 12, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions.

We help visionary companies advance their engineering and science initiatives through

access to specialized experts who drive scale, innovation and speed to market.

With a network of almost 30,000 consultants and more than 4,500 clients across the U.S.,

Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without

regard to race, sex, age, color, religion, national origin, veteran status, disability,

sexual orientation, gender identity, genetic information or any characteristic protected

by law.

If you would like to request a reasonable accommodation, such as the modification or

adjustment of the job application process or interviewing process due to a disability,

please email ... for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the

city and county of San Francisco, we will consider for employment qualified applicants

with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a

condition of employment or continued employment. An employer who violates this law

shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):

We may use Artificial Intelligence (AI) to support parts of our hiring process,

including sourcing, screening, and evaluating candidates. AI helps assess applications

and qualifications, but final decisions are made by our hiring team. By applying, you

acknowledge and agree that your application may be reviewed using AI tools.