A-Line Staffing Solutions

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Lansing, MI (Hybrid) with a contract length offering $60–$70/hr on W-2. Requires 12+ years of experience, strong skills in AWS, Python, Scala, ETL processes, and healthcare integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
February 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Lansing, MI
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🧠 - Skills detailed
#Databases #"ETL (Extract #Transform #Load)" #Compliance #Requirements Gathering #Deployment #Oracle #Elasticsearch #Python #Visualization #Azure DevOps #Security #Cloud #Agile #Azure #Monitoring #Scala #Data Engineering #AWS (Amazon Web Services) #Databricks #Data Pipeline #DevOps #Documentation #Data Accuracy #Data Integrity #Physical Data Model #Data Processing #Leadership #GIT
Role description
Senior Data / Application Engineer – Technical Lead 📍 Location: Lansing, MI (Hybrid) 💵 Rate: $60–$70/hr on W-2 (No C2C or third-party candidates) ⏱ Employment Type: Contract Position Overview We are seeking a highly experienced Senior Data / Application Engineer to provide ongoing maintenance, enhancement, and technical leadership for a large-scale, mission-critical enterprise application supporting complex workflows, data pipelines, and analytics. This platform plays a vital role in operational reporting, case management, and system integrations and is currently in an active modernization phase. The selected candidate will act as a Technical Lead, ensuring system stability, data integrity, security, and compliance while guiding other developers across multiple critical applications. This role combines hands-on development with architectural oversight and team mentorship. Key Responsibilities Technical Leadership & System Support • Serve as technical lead for a complex, modernized enterprise application. • Provide hands-on development while offering technical guidance and oversight to other developers. • Support multiple critical applications by contributing architectural and engineering expertise. • Ensure high availability, performance, and data accuracy to prevent outages and reporting issues. Application Development & Modernization • Lead the design and development of scalable, high-performance cloud-based solutions using AWS services. • Write clean, maintainable, and efficient code using Python and Scala. • Design, implement, and maintain ETL processes and data pipelines. • Participate fully in the Software Development Life Cycle (SDLC), including requirements gathering, functional and technical design, development, testing, and deployment. • Ensure adherence to SEM/SUITE standards, security requirements, and enterprise best practices. Data Engineering & Analytics • Design and maintain logical and physical data models. • Develop and optimize database objects including stored procedures and functions. • Implement and manage ElasticSearch and Kibana for efficient data retrieval, monitoring, and analytics. • Support data warehousing, visualization tools, and data integrity initiatives. Cloud, DevOps & Agile Practices • Build and maintain AWS cloud-based applications. • Support or implement CI/CD pipelines using Azure DevOps. • Use Git for source control and collaboration. • Work within large Agile teams, following Agile and test-driven development practices. • Create software design documentation and collaborate with stakeholders for review and approval. Healthcare & Integration Experience • Support integrations involving Electronic Health Records (EHR) and HL7 standards. • Ensure secure handling of sensitive and regulated data. Required Qualifications Experience • 12+ years of experience developing complex database-driven systems. • 8+ years of hands-on experience with: • Databricks • ElasticSearch and Kibana • Python and/or Scala • Oracle databases • 5+ years of experience with: • ETL processes and data pipeline development • AWS cloud services • Data warehousing and data visualization tools • Data integrity and quality initiatives • Agile development methodologies • CMM/CMMI Level 3 methods and practices • Test-driven development (TDD) Technical Skills • Strong expertise in: • AWS cloud application development • Databricks and distributed data processing • ElasticSearch and Kibana • Python and Scala • Oracle database development • ETL architecture and pipeline orchestration