Associate Data Engineer

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Collaborate with clients, implementation teams, and internal stakeholders to comprehend data distribution needs.

• Conduct data analysis, profiling, and mapping to ensure accurate client deliverables.

• Develop and sustain data distribution extracts, SQL queries, and scripts with assistance from senior team members.

• Aid in optimizing data extract scripts for enhanced performance, scalability, and reliability.

• Validate outputs, investigate data discrepancies, and participate in root cause analysis when issues occur.

• Document requirements, workflows, data mappings, and technical decisions to facilitate consistent delivery.

• Engage in client meetings, project discussions, and internal sessions to understand requirements and convey progress.

• Work collaboratively with colleagues to address data challenges and foster a high-performing, inclusive, and supportive team culture.

• Bring curiosity and suggestions for process enhancements, automation, and more efficient work methods.

⛳️ Requirements

• Recent graduate with a Bachelor’s or Master’s degree, or equivalent academic, project, internship, or professional experience relevant to data engineering, analytics, computer science, information systems, or a related technical field.

• Proficient in SQL programming, capable of writing queries, analyzing data, and troubleshooting outcomes.

• Familiarity with data analysis, profiling, reporting, mapping, or validation through coursework, internships, projects, research, or prior employment.

• Interest in healthcare data and systems, including membership, claims, provider, or related healthcare datasets.

• Ability to manage large or complex datasets and apply analytical reasoning to resolve business and technical challenges.

• Strong problem-solving abilities and a readiness to conduct root cause analysis on data, processes, and outputs.

• Excellent communication skills, enabling collaboration with both technical and non-technical stakeholders.

• Strong organizational capabilities, attention to detail, and the ability to navigate a fast-paced environment.

• Curiosity, humility, and a willingness to learn new tools, technologies, and healthcare data concepts.

• A desire to contribute individually while also collaborating closely with teammates.

• Candidates must be authorized to work in the United States at the time of hire.

• Experience or coursework related to AWS, Azure, Databricks, Spark, Snowflake, performance tuning, query optimization, ETL, or data pipeline development is not mandatory.

🏝️ Benefits

• Unlimited paid time off: recharge when you need it.

• Work from anywhere: flexibility to fit your life.

• Comprehensive health coverage: multiple plan options to choose from.

• Equity for every employee: share in our success.

• Growth-focused environment: your development matters here.

• Home office setup allowance: one-time support to get you started.

• Monthly cell phone allowance: stay connected with ease.