Senior Data Engineer

Description

The company brings clinical research and health services to communities that often face barriers to care, through hundreds of research locations, mobile clinics and clinicians around the world.

The company runs programs such as Future of Medicine, which offers advanced health screenings and research opportunities to communities worldwide, and Difference Makers, which backs local leaders in growing community health and wellbeing work.

This role is a senior data engineering position that designs, builds, runs and maintains scalable data pipelines and enterprise data platforms for the organization's operational, analytical and reporting needs. You will bring together complex data from many sources, keeping it available, reliable and accurate, and you will work with cross-functional stakeholders on modern data architecture, faster processing and stronger platform performance using cloud technologies and current best practices. You will also lead technical direction for the data infrastructure, support governance efforts and deliver data that helps the business make informed decisions.

To learn more about the company, visit its website.

Responsibilities

• Design, build and run reliable, efficient data pipelines that serve clinical, operational and business needs.
• Create and maintain architecture standards, reusable frameworks and engineering practices across data work.
• Build automated ingestion, transformation and orchestration systems using cloud-native and open-source tools.
• Tune data storage and processing across data lakes and cloud warehouses, including Azure and Databricks.
• Build and monitor batch and streaming processes that keep data accurate, consistent and timely.
• Keep documentation and lineage records for datasets and pipelines so the work stays transparent and governed.
• Partner with analysts, data scientists, software engineers and business stakeholders to clarify data needs and deliver solutions that fit them.
• Review and improve work from teammates to meet quality and performance standards.
• Mentor junior engineers and coordinate with contractors and third-party vendors to add engineering capacity.
• Use Databricks, dbt, Azure Data Factory and SQL to design and deploy solid data engineering solutions.
• Connect APIs, structured and unstructured sources, and third-party systems into central data platforms.
• Assess and adopt new technologies that improve scalability, observability and automation.
• Suggest changes to infrastructure, processes and automation that raise efficiency, cut costs and improve performance.

Requirements

• Bachelor's or master's degree in computer science, information systems, engineering or a related field.
• 5+ years of data engineering experience, including a record of building production-grade cloud data pipelines.
• Strong skills in Databricks, SQL, dbt, Python and cloud data ecosystems such as Azure.
• Experience with structured and semi-structured data from varied domains.
• Familiarity with CI/CD pipelines, orchestration tools such as Airflow or Azure Data Factory, and modern software engineering practices.
• Strong analytical and problem-solving skills for complex data challenges, with a drive toward scalable solutions.

Conditions

Remote position within the United States, with all work performed in a remote setting.

Travel is under 10% of the time. Occasional planned travel may be required.

The role requires the ability to use keyboards and other computer equipment.

Expected pay is $120,000 to $160,000 USD per year for full-time team members.

Equal-opportunity and legal notices apply to applicants in several states, as set out below.

Benefits

• Paid time off and company-paid holidays.
• Employer-paid medical, dental and vision plan options at 100%.
• Health Savings Account and Flexible Spending Accounts, with an employer HSA contribution every two weeks.
• Company-paid short-term and long-term disability.
• 401(k) retirement plan with company match.
• Illinois applicants: you are not required to disclose expunged juvenile records or adjudication, arrest or conviction records.
• Connecticut applicants: the company may require a urinalysis drug test as part of the application process.
• Arizona, Georgia, Indiana and North Dakota applicants: the company follows laws banning smoking in and around workplaces.
• Massachusetts applicants: requiring or giving a lie detector test as a condition of employment or continued employment is unlawful, and violators face criminal penalties and civil liability.
• Rhode Island applicants: the company follows the state's ban on smoking in enclosed workplace areas and is subject to Chapters 29-38 of Title 28 of the Rhode Island General Laws.
• Maryland applicants: an employer may not require a lie detector or similar test as a condition of employment, prospective employment or continued employment. Violators are guilty of a misdemeanor and may be fined up to $100.