Data Science Engineer

Job Title: Data Engineer with Data Science Experience

Job Description

We are seeking a skilled Data Engineer with a strong background in data science to design and maintain large-scale data pipelines using Databricks or similar big data platforms. This engineering-first role focuses on creating scalable and reliable data architecture that supports high-quality analytics and facilitates the integration of AI and machine learning workloads. You will collaborate with product and engineering teams to transform complex data into production-ready assets.

Responsibilities

• Develop scalable data pipelines using Databricks, PySpark, and cloud-native tools to ingest, clean, and transform large time series datasets.
• Design and maintain data models optimized for analytical and machine learning workloads.
• Build, train, and evaluate machine learning models for forecasting, anomaly detection, and pattern recognition in time series data.
• Collaborate with cross-functional teams to understand data needs, define requirements, and deliver high-quality analytical solutions.
• Optimize Spark jobs for performance, reliability, and cost efficiency.
• Implement best practices for data quality, versioning, testing, and documentation.
• Explore new tools and techniques to improve data processing, modeling, and automation.

Essential Skills

• 3 years of experience in data engineering, data science, or a hybrid role.
• Experience with MLflow, Delta Lake, or Databricks AutoML.
• Strong proficiency with Databricks (or comparable big data platforms), PySpark, and distributed data processing.
• Hands-on experience with time series data, including feature engineering, forecasting, and anomaly detection.
• Solid programming skills in Python and familiarity with common data science libraries (pandas, NumPy, scikit-learn, etc.).
• Experience building and maintaining ETL/ELT pipelines in a cloud environment (Azure, AWS, or GCP).
• Understanding of machine learning fundamentals and experience applying models to real-world datasets.
• Strong SQL skills and experience working with large relational or NoSQL databases.

Additional Skills & Qualifications

• Familiarity with streaming data (Structured Streaming, Kinesis, etc.).
• background in MLOps, CI/CD for data pipelines, or productionizing ML models.
• Experience with data visualization tools (Power BI, Tableau, etc.).
• Knowledge of statistics, experimental design, or causal inference.

Work Environment

This position is onsite in Detroit, MI (Redford). The work environment is fast-paced and iterative, with a collaborative team that values experimentation and learning. The role offers the opportunity to shape data strategy and architecture for impactful analytical products, along with competitive compensation, benefits, and professional development support.

This is a Permanent position based out of Detroit, MI.

The pay range for this position is $40.00 - $44.00/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 fully onsite position in Detroit,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 actalentaccommodation@actalentservices.com 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.

Salary : $40 - $44