Data Engineer II
This position is posted by Jobgether on behalf of Outcomes™. We are currently looking for a Data Engineer II in Dublin, OH.
Are you passionate about data, automation, and improving healthcare outcomes through technology? As a Data Engineer II, you will play a critical role in designing and building scalable data pipelines, cloud-based analytics platforms, and self-service solutions that empower teams across the business. Working with cutting-edge technologies in a fast-paced, collaborative environment, you’ll partner with stakeholders to turn raw data into powerful insights and help modernize legacy systems to support large-scale digital health programs. This role is ideal for an experienced, hands-on engineer eager to drive transformation and innovation in the healthcare analytics space.
Accountabilities
- Collaborate with business stakeholders and technical teams to define and implement scalable data and analytics solutions.
- Build, maintain, and optimize ETL pipelines, data warehouses, and dashboards to support business intelligence needs.
- Lead modernization efforts by migrating legacy data infrastructure to cloud-native platforms such as AWS RedShift, Glue, and Databricks.
- Develop automation and enable self-service capabilities across teams, minimizing manual data operations.
- Ensure high performance and reliability of analytics platforms, proactively addressing performance issues and production support incidents.
- Document and maintain CI/CD pipelines and operational processes while mentoring junior engineers.
- Apply a security-first mindset by adhering to data privacy, HIPAA, and PHI protection standards in development and deployment.
- Minimum 7 years of experience in data engineering, including hands-on work in ETL design, data modeling, and warehousing.
- Proficiency in SQL, Python scripting, and experience with tools like MS SQL Server, SSIS, and SSRS.
- Strong experience with AWS services (RedShift, Glue), and familiarity with Databricks, Qlik Replicate, and Sigma Computing is a plus.
- Comfortable with cloud-based DevOps, automation, and modern BI/data pipeline frameworks.
- Exposure to React or UI development tools, GenAI, and LLM/agentic AI is a strong advantage.
- Experience in healthcare technology or working with HIPAA/PHI data is highly preferred.
- Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent practical experience.
- Effective communicator and collaborator, with a passion for data-driven problem solving and team mentorship.
- Competitive compensation based on experience and performance.
- Hybrid work model with a collaborative team culture based in Dublin, OH.
- Access to modern tools and cloud technologies to support professional growth and innovation.
- Opportunity to work on high-impact digital health solutions improving real-world patient outcomes.
- Inclusive, mission-driven work environment with advancement opportunities.
- Health, dental, vision, and wellness benefits.
- Paid time off, holidays, and flexible work arrangements.
- 401(k) plan with company match.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
#LI-CL1
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