Data Engineer II

4 days ago

Franklin Park, IL, United States Jobot Full time
A bit about us:

Are you an experienced Data Engineer looking to make an impact on our healthcare system while utilizing advancements in AI?

We're a technology-driven organization focused on bringing transparency and efficiency to healthcare payments. Our purpose is to drive better outcomes for both providers and payers by reducing waste and improving collaboration across the healthcare system.

As a REMOTE Data Engineer, you will play a crucial role in building, optimizing, and maintaining data solutions that support our growing suite of products and services. You'll work closely with senior engineers and business stakeholders to design robust data workflows, ensure data accuracy, and help guide technical decisions across various projects.

This role combines hands-on development with opportunities for leadership and mentorship, contributing to the strategic growth of our data capabilities.

Why join us?

  • Remote Culture - work from anywhere in the US
  • Excellent Medical, Dental, and Vision
  • 401k with company match
  • PTO
  • Paid Sick Leave
  • Paid Holidays
  • Parental Leave
  • Tuition Reimbursement Plan
Job Details

Key Responsibilities
  • Develop, test, and maintain scalable data pipelines and ETL processes.
  • Collaborate on the design of system architecture and data flow strategies.
  • Partner with business units and technical teams to resolve data issues and support ongoing analytics efforts.
  • Perform data wrangling tasks such as ingestion, transformation, and cleaning to enable meaningful analysis.
  • Convert complex business needs into clear technical plans and data-driven solutions.
  • Participate in peer code reviews and share best practices across the engineering team.
  • Produce and maintain documentation related to data workflows, architecture, and models.
  • Create custom reports and visualizations for both internal stakeholders and external partners.
  • Assist in managing and troubleshooting a large volume of data pipelines.
  • Work alongside software engineers to ensure data consistency within applications.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related discipline; equivalent experience considered.
  • At least 3 years of professional experience in data engineering or related fields.
  • Proficient in tools and languages such as Python, T-SQL, SQL Server Management Studio (SSMS), Azure Data Factory, and Databricks.
  • Solid experience in data integration, ETL development, and building data warehouses.
  • Familiarity with data governance standards and security protocols, especially in healthcare settings.
  • Strong analytical skills with the ability to turn raw data into actionable insight.

Preferred Experience
  • Comfortable leading junior engineers or interested in mentoring.
  • Knowledge of healthcare datasets and industry-specific data protections.
  • Prior experience with cloud platforms, especially Microsoft Azure.

  • Exposure to agile methodologies and tools such as JIRA, Bitbucket, or Red-Gate.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

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