{"id":3286094,"url":"https://alion.io/job/abacus-insights-associate-data-engineer-2","title":"Associate Data Engineer","company":{"id":3424,"name":"Abacus Insights","domain":"abacusinsights.com","url":"https://alion.io/company/abacus-insights","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":10,"ghost_share":0.1,"stale_share":0.2,"repost_share":0.2,"time_to_fill_p50_days":14,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Boston, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":30,"max":null,"currency":"USD","period":"hour","gross":null,"usd_annual":60000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-26T16:58:14Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-27T19:45:31Z","board_verified":false,"closed_at":"2026-10-27T19:45:31Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"About Us\nAbacus Insights is transforming how data and AI work for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.\nAs the AI and Data Platform for Payer Intelligence, we help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions-so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we're tackling big challenges in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows-and it's why we are leading the way.\nOur innovation begins with people. We are bold, curious, and collaborative-because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable-those excited to leverage emerging technologies to enhance how we work-while keeping human insight, connection, and our clients at the center of every decision.\nReady to make an impact? Join us and let's build the future together.\nAbout the Role \nOur Data Engineering team is looking for an Associate Data Engineer. In this role, you will partner with clients, implementation teams, and internal stakeholders to help deliver high-quality data extracts and distribution solutions from Abacus’s core data management platform, which is built on scalable, flexible, and resilient cloud architectures. \nThis is an early-career opportunity designed for recent graduates who are excited to build a foundation in data engineering, healthcare data, and client-facing delivery. As a trusted partner to the team, you will support client adoption of Abacus’s data management offerings while developing hands-on experience in data analysis, mapping, SQL, data quality, and cloud-based data services. \nWe welcome applications from new graduates, including candidates currently authorized to work in the United States under F-1 Optional Practical Training (OPT). Candidates must be authorized to work in the United States at the time of hire. \nYour day to day \nPartner with clients, implementation teams, and internal stakeholders to understand data distribution requirements. \nPerform data analysis, data profiling, and data mapping to support accurate client outputs. \nBuild and maintain data distribution extracts, SQL queries, and scripts with guidance from senior team members. \nSupport optimization of data extract scripts for performance, scalability, and reliability. \nValidate outputs, investigate data issues, and contribute to root cause analysis when discrepancies arise. \nDocument requirements, workflows, data mappings, and technical decisions to support repeatable delivery. \nParticipate in client meetings, project discussions, and internal working sessions to learn requirements and communicate progress. \nCollaborate with teammates to solve data challenges and contribute to a high-performing, inclusive, and supportive team culture. \nBring curiosity and ideas for process improvements, automation, and more efficient ways of working. \nWhat you bring to the team \nRecent 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. \nStrong SQL programming skills, with the ability to write queries, analyze data, and troubleshoot results. \nExposure to data analysis, data profiling, reporting, data mapping, or data validation through coursework, internships, projects, research, or prior work experience. \nInterest in healthcare data and systems, including domains such as membership, claims, provider, or related healthcare data sets. \nAbility to work with large or complex data sets and apply analytical thinking to solve business and technical problems. \nStrong problem-solving skills and willingness to perform root cause analysis on data, processes, and outputs. \nClear communication skills, with the ability to collaborate with both technical and non-technical stakeholders. \nStrong organizational skills, attention to detail, and ability to manage work in a fast-moving environment. \nCuriosity, humility, and a willingness to learn new tools, technologies, and healthcare data concepts. \nDesire to contribute individually while also collaborating closely with others. \nWhat we would like to see, but not required \nExperience or coursework involving AWS, Azure, Databricks, Spark, or other cloud-based data platforms. \nExperience or exposure to Snowflake or similar cloud data warehouse technologies. \nAcademic, internship, or project experience involving performance tuning, query optimization, ETL, or data pipeline development. \nCompensation \nCompensation for this role is $30/hour or $62,400 per annum.\nWhat you'll get in return\nUnlimited paid time off: recharge when you need it. \nWork from anywhere: flexibility to fit your life. \nComprehensive health coverage: multiple plan options to choose from. \nEquity for every employee: share in our success. \nGrowth-focused environment: your development matters here. \nHome office setup allowance: one-time support to get you started. \nMonthly cell phone allowance: stay connected with ease. \nOur Commitment as an Equal Opportunity Employer\nAs a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\nAt the heart of who we are is a commitment to continuously and intentionally building an inclusive culture-one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that-big or small-please let us know.\nAI Use in Recruitment\nWe use AI-powered tools throughout our recruitment process. This includes Greenhouse's Real Talent Matching Technology, which helps prioritize applications based on job-related criteria, as well as additional AI tools used to support sourcing, interview preparation, and other recruiting tasks. We do not remove the human element-our recruiters and hiring teams review all applications and make all decisions related to candidate progression and hiring, regardless of which tools are used to support that process.\nIdentity and Location Verification\nTo protect the integrity of our hiring process, all interviews are conducted by live video with your camera on. Virtual or blurred backgrounds and headsets are not permitted absent an approved accommodation, and you should be in a well-lit, private space where your face and surroundings are clearly visible. Candidates who advance may also be asked to complete identity and location verification, which may include verifying your identity, work history, and confirming that you are located where your application states. Applications containing knowingly false or materially misrepresented information, including identity, location, or credentials, may be disqualified, and any offer may be rescinded if a material misrepresentation is discovered at any point in the process.\nIf you need an accommodation for any part of the interview process, please let your recruiter know in advance.\nBy applying, you acknowledge that we will collect and process your personal information for recruiting purposes in accordance with applicable data protection laws, including for the verification steps described above. 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