Salesforce Developer

CI/CD MLflow PySpark Power BI Big Data Visionary Innovation Statistics Databricks Scalability Reliability Forecasting AWS Kinesis Time Series Data Quality Data Science Data Modeling Data Strategy Data Pipelines Microsoft Azure Data Processing Machine Learning Data Engineering Data Architecture Anomaly Detection Data Visualization Amazon Web Services Pattern Recognition Experimental Design Software Versioning Feature Engineering Cloud-Native Computing NumPy (Python Package) Distributed Data Store Artificial Intelligence Pandas (Python Package) SQL (Programming Language) Critical Illness Insurance Extract Transform Load (ETL) Python (Programming Language) Scikit-Learn (Python Package) MLOps (Machine Learning Operations) Tableau (Business Intelligence Software) Machine Learning Model Monitoring And Evaluation, 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., * 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., Amazon Redshift Data Integration Data Warehousing Agile Methodology Data Architecture Cloud Technologies Systems Engineering Systems Integration Business Operations Amazon Web Services Reporting Solutions Relational Databases Alation Data Catalog Artificial Intelligence Extended Reach Drilling SQL (Programming Language) Critical Illness Insurance Document-Oriented Databases Scrum (Software Development) SQL Server Analysis Services Continuous Improvement Process +0 Data Scientist Actalent Sterling Heights, MIRemote JIRA MATLAB, Detroit, MIOn-Site NoSQL CI/CD MLflow PySpark Power BI Big Data Visionary Innovation Statistics Databricks Scalability Reliability Forecasting AWS Kinesis Time Series Data Quality Data Science Data Modeling Data Strategy Data Pipelines Microsoft Azure Data Processing Machine Learning Data Engineering Data Architecture Anomaly Detection Data Visualization Amazon Web Services Pattern Recognition Experimental Design Software Versioning Feature Engineering Cloud-Native Computing NumPy (Python Package) Distributed Data Store Artificial Intelligence Pandas (Python Package) SQL (Programming Language) Critical Illness Insurance Extract Transform Load (ETL) Python (Programming Language) Scikit-Learn (Python Package) MLOps (Machine Learning Operations) Tableau (Business Intelligence Software) Machine Learning Model Monitoring And Evaluation +0

• 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., Sterling Heights, MI*Remote JIRA MATLAB Mathcad Planning Power BI Big Data Simulink Metadata Visionary Leadership Innovation Scalability Reliability Data Quality Communication Data Modeling Collaboration Apache Hadoop Schema Markup Data Integrity Data Pipelines Detail Oriented Problem Solving Data Structures Data Governance, Power BI Simulink Dashboard Visionary Leadership Governance Innovation Statistics Mathematics Scalability Reliability Probability Data Storage Data Modeling Data Strategy Data Integrity Data Pipelines Detail Oriented Problem Solving Quality Control Data Governance Data Management Data Validation Vehicle Systems Amazon Redshift Data Warehousing Data Engineering Agile Methodology Analytical Skills Data Architecture Advanced Analytics Cloud Technologies Amazon Web Services Data Infrastructure Data Transformation Alation Data Catalog Mathematical Modeling Artificial Intelligence SQL (Programming Language) Critical Illness Insurance Verbal Communication Skills Data-Driven Decision Making Business Intelligence Tools Extract Transform Load (ETL) Scrum (Software Development) SQL Server Analysis Services Continuous Improvement Process Troubleshooting (Problem Solving) Application Programming Interface (API) +0

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. Job Type & Location

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

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) Workplace Type

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.