Data Engineer II (Remote - US) - job 2 of 8

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer II in the United States.

This role offers an exciting opportunity to design, develop, and deliver scalable data pipelines and value-added data assets across a complex healthcare data ecosystem. The Data Engineer II will collaborate closely with data scientists, business intelligence developers, and cross-functional teams to enhance data systems, provide actionable insights, and support critical business decisions. This position emphasizes mentoring, technical leadership, and the application of best practices in data engineering and data warehousing. You will work on integrating and validating diverse data sources, developing dashboards, and automating workflows to improve organizational performance. Ideal candidates thrive in dynamic, collaborative environments, are adept at problem-solving, and are skilled in leveraging both structured and unstructured data to create meaningful insights.

Accountabilities:

• Incorporate new business and system data into enterprise data warehouses while adhering to data governance standards.
• Apply business rules, validate datasets, and ensure data quality through ETL processes using tools like Informatica or scripting languages.
• Collaborate with cross-functional teams to scope, develop, and deliver data solutions aligned with business needs.
• Extract, transform, and visualize data to support analytics and decision-making.
• Develop and maintain dashboards and automate refresh processes where applicable.
• Manage medium-complexity projects and initiatives, providing leadership to assigned teams.
• Mentor and guide junior data engineers and BI developers on technical best practices.
• Investigate technical issues across multiple data sources and recommend solutions.

• Bachelor’s degree in a quantitative, technical, or related field.
• 3–5 years of analytics experience (Business Intelligence, Data Engineering, or Data Science), including at least 2 years in Data Engineering or Data Warehousing.
• Cloud or healthcare experience preferred.
• Epic certification/accreditation required within 6 months of hire (e.g., Cogito Fundamentals, Clarity Data Model, Caboodle Data Model, Access Data Model).
• Strong analytical and problem-solving skills, with the ability to work with structured and unstructured datasets.
• Advanced SQL and programming proficiency; experience with Python, Java, C++, Scala, or similar languages.
• Exposure to big data tools and platforms such as dbt, SnowPark, Spark, Kafka, Snowflake, MS SQL Server, and Postgres.
• Experience with data integration tools (Fivetran, Matillion, SSIS, dbt, SnowSQL) and stream-processing systems (IBM Streams, Flume, Storm, Spark Streaming).
• Experience with APIs, statistical analysis tools (R, SAS, SPSS), and visualization platforms (QlikView, Tableau, Power BI).
• Familiarity with Agile methodology and electronic health record or financial systems (Epic, Workday, Strata).
• Strong communication, project management, and organizational skills.
• Ability to work independently and in teams, supporting cross-functional collaboration.

• Competitive total compensation and comprehensive benefits package.
• Paid time off (PTO) and 401(k) retirement plan.
• Medical, dental, and vision insurance coverage.
• Opportunities for professional development and ongoing training.
• Inclusive work environment emphasizing collaboration and growth.
• Remote or flexible work arrangements as applicable.

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 three 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!

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