20th March, 2026
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
Job Title: Data Engineer II
Location: Cincinnati, OH (Blue Ash - Onsite)
Years of Experience: 5-15
Contract Length: 6mth, likely extension
MUST BE WILLING TO INTERVIEW ONSITE!!!!
TOP SKILLS:
Top 3 skills: azure data bricks, python, and spark
Soft Skills Needed: problem solving, attention to detail, and ability to work independently and part of agile team
Team details i.e. size, dynamics, locations: 10 team members, working independently but will do peer programing throughout the day.
What You'll Do
The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions.
Requirements
- 5+ years of experience as a Data Engineer
- Hands-on experience with Azure Databricks, Spark, and Python
- Experience with Delta Live Tables (DLT) or Databricks SQL
- Strong SQL and database background
- Experience with Azure Functions, messaging services, or orchestration tools
- Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
- Experience monitoring and optimizing Databricks clusters or workflows
- Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
- Experience with Terraform for cloud infrastructure provisioning
- Experience with GitHub and GitHub Actions for version control and CI/CD automation
- Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
- Familiarity with SDLC and modern engineering practices
- Ability to balance multiple priorities, work independently, and stay organized
Key Responsibilities
- Analyze, design, and develop enterprise data solutions with a focus on Azure, Databricks, Spark, Python, and SQL
- Develop, optimize, and maintain Spark/PySpark data pipelines, including managing performance issues such as data skew, partitioning, caching, and shuffle optimization
- Build and support Delta Lake tables and data models for analytical and operational use cases
- Apply reusable design patterns, data standards, and architecture guidelines across the enterprise, including collaboration with 84.51° when needed
- Use Terraform to provision and manage cloud and Databricks resources, supporting Infrastructure as Code (IaC) practices
- Implement and maintain CI/CD workflows using GitHub and GitHub Actions for source control, testing, and pipeline deployment
- Manage Git-based workflows for Databricks notebooks, jobs, and data engineering artifacts
- Troubleshoot failures and improve reliability across Databricks jobs, clusters, and data pipelines
- Apply cloud computing skills to deploy fixes, upgrades, and enhancements in Azure environments
- Work closely with engineering teams to enhance tools, systems, development processes, and data security
- Participate in the development and communication of data strategy, standards, and roadmaps
- Draft architectural diagrams, interface specifications, and other design documents
- Promote the reuse of data assets and contribute to enterprise data catalog practices
- Deliver timely and effective support and communication to stakeholders and end users
- Mentor team members on data engineering principles, best practices, and emerging technologies
What You'll Get SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
- Competitive base salary
- Medical, dental, and vision insurance coverage
- Optional life and disability insurance provided
- 401(k) with a company match and optional profit sharing
- Paid vacation time
- Paid Bench time
- Training allowance offering
- You'll be eligible to earn referral bonuses!
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