Data Engineer

Job not on LinkedIn

🕒 November 3

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 12 days.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Abacus Insights

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Abacus Insights is a leader in health plan data solutions that empowers healthcare payers by providing usable and interoperable data. The company offers a comprehensive suite of data solutions designed to address complex government mandates and improve payer readiness. Abacus Insights' platform is capable of consolidating and normalizing diverse data sources into comprehensive patient records, ensuring data accuracy, and facilitating timely data updates. Their solutions support multiple use cases, including risk adjustment, clinical data exchange, cost management, and performance reporting. With a focus on technology and healthcare, Abacus Insights helps payers manage costs and improve member experiences through enhanced data management capabilities.

📋 Description

• Design and implement data models, ETL/ELT pipelines, and integrations for governed, analytics-ready payer data foundations, particularly in Snowflake • Translate business requirements into scalable technical designs from ingestion and standardization through analytics-ready data products • Serve as a trusted technical advisor to client data, IT, business stakeholders, and senior leaders • Work on-site with clients as engagements require • Lead discovery sessions and workshops, gather requirements, and structure open-ended problems • Communicate technical tradeoffs, risks, and recommendations to technical and non-technical audiences • Advise clients on data quality, mapping, and integration approaches across commercial, government, and other lines of business • Navigate FHIR, HL7, EDI, and API interoperability standards and exchange patterns • Partner with healthcare SMEs, AI/product engineers, and core delivery teams • Preserve and apply Abacus data-modeling standards and best practices • Capture reusable patterns, accelerators, and lessons learned for service-offering playbooks • Travel 25% as required to support client engagements

🎯 Requirements

• 7+ years of experience in data engineering, analytics engineering, solution engineering, or a related technical role • Strong expertise in data modeling, ETL/ELT, integration, databases, data pipelines, and analytics solution design • Hands-on Snowflake experience required • Proficiency in SQL, Databricks, Spark, cloud data services, APIs, and integration frameworks • Experience with healthcare payer, government, claims, eligibility, member, provider, encounter, and care management data • Familiarity with FHIR, HL7, EDI, and APIs • Proven ability to work directly with external clients, senior stakeholders, and ambiguous requirements • Strong facilitation, requirements-gathering, communication, and structured problem-solving skills • T-shaped professional with deep technical expertise, broad systems understanding, and sound business judgment • Self-starter with strong analytical instincts and pragmatic problem-solving ability • Current authorization to work in the United States without employer sponsorship • Ability to work on-site with clients as needed • Preferred but not required: consulting/professional services experience, Snowflake or Databricks certifications, data governance/master data management/data quality experience, and familiarity with CMS, Medicaid, or Medicare data requirements

🏖️ Benefits

• Unlimited paid time off • Work from anywhere – flexibility to fit your life • Comprehensive health coverage with multiple plan options • Equity for every employee • Growth-focused environment and development opportunities • Home office setup allowance • Monthly cell phone allowance • Eligibility for performance bonuses • Identity and location verification as part of the hiring process

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