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Healthcare Data Analyst Java Developer Jobs (NOW HIRING)

AirPay

Healthcare Data Analyst

Manhattan, NY · On-site

Our data team sits at the intersection of scraper engineering, payer operations, and product ... We're hiring the person who finds what those reports leave out. * Healthcare data, payer analytics ...

Curant Health

Healthcare Data Analyst

Smyrna, GA · On-site

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

BerryDunn

Senior Healthcare Data Analyst

Kapolei, HI · On-site

$89K - $112K/yr

As a Senior Healthcare Data Analyst , you will apply advanced healthcare analytics, quantitative ... Advanced proficiency with SQL and/or one or more analytic programming tools such as SAS, R, Python ...

HealthPartners

Value Based Care Data Analyst

Bloomington, MN · On-site

$36.37 - $54.55/hr

... developers, data scientists, and business stakeholders to deliver impactful analytics solutions ... While all roles are focused on improving healthcare quality, outcomes, and affordability through ...

Conduent, Inc.

Senior Java Developer

TX · Remote

$58.50 - $74.75/hr

We are seeking a Senior Java Developer with deep HL7 FHIR expertise to lead the design and ... Solid understanding of payer healthcare data domains (member, coverage, claims, benefits)

Next Step Systems

Java Developer

Tampa, FL · On-site

$48.25 - $62.25/hr

Java Developer, Tampa, FL The Java Developer will assist a group of top notch developers to build ... Analyze, design, develop and implementation of software solutions for healthcare industry using ...

Scalence L.L.C.

Java Developer

Alpharetta, GA · On-site

$48.50 - $62.75/hr

C. is seeking a Java Developer with advanced proficiency in Java programming and experience with ... SQL • Strong analytical and problem-solving skills to diagnose and resolve complex data ...

AaraTechnologies Inc

DATA ANALYST

Kansas City, MO · On-site

Data Analyst Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare ( 2-3 years experience) to support healthcare ...

Murtech Staffing and Solutions

Data Analyst

Data Quality Analyst - Healthcare Data - Remote The Opportunity We are seeking an experienced Data ... an Application Developer/Technical Lead, but the stated need at the bottom is clearly a Data ...

Avani Technology Solutions, Inc.

Java Developer

Boston, MA · On-site

$55.50 - $71.75/hr

... analysis, application design, and code development and testing • Designing reusable Java ... Big Data and Java development - One position supports development of the product in Java with ...

SCI SOLUTIONS GLOBAL

Java Developer

Plano, TX

$50 - $60/hr

Build and support ETL and streaming data pipelines using PySpark/Spark . * Leverage AWS services ... Contribute across the full software engineering lifecycle, including analysis, development, testing ...

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Healthcare Data Analyst

Manhattan, NY • On-site

AirPay
See more jobs at AirPayexternal

Full-time

Re-posted 13 days ago

Job description


About AirPay
AirPay automates dental insurance verification and revenue cycle workflows for dental practices. We process millions of eligibility and benefit transactions annually, sourcing data from payer portals, EDI pipelines, and direct connections. Our data team sits at the intersection of scraper engineering, payer operations, and product, turning raw benefit data into actionable outputs for practices and their patients.
The Role
We're looking for someone whose job is to find what's silently wrong or missing in our benefit data, before a practice or a patient does. This isn't a reporting role and it isn't a dashboard role: the deliverable is catching the problem everyone else's tidy summary missed. Coverage that reads "active" but lapsed last month. A field that comes back blank and gets quietly treated as "no benefit." A payer whose data looks clean until you notice an entire location's records are null. You'll own a slice of our verification pipeline (a set of payers, a data domain, a monitoring surface) and run it: surface what actually matters, with evidence, without needing every anomaly pointed out to you first. You'll report to the Head of Data and work as a peer-level collaborator with engineering, customer success, and operations.
What You'll Own
  • Data quality investigations: Run structured investigations into benefit data anomalies across 100+ payers. Triggers are both scheduled (cohort comparisons between data sources: portal-scraped vs EDI vs internal estimates) and signal-driven (customer escalations, operational reports). Output is engineer-actionable findings documents: what's broken, where, what evidence, and critically, what's wrong that nobody flagged. Common patterns include coverage-percentage inversions, blank-fill in returned data passed off as a real answer, frequency-normalization gaps (such as "12 months" vs "1 service year"), and stale data carrying across plan changes.
  • Completeness and accuracy monitoring: Own a monitoring surface and define what "healthy" looks like for it, then catch when reality drifts from it. The hard part isn't building the dashboard; it's noticing the gap the dashboard doesn't show.
  • Customer issue triage analysis: Own the weekly pattern analysis on customer-issue tickets. Categorize ticket types, track volume trends, identify recurring root causes, and surface signal that drives parser fixes, product changes, or QA process updates.
  • Ad hoc investigations: When a payer behaves unexpectedly or a hypothesis needs checking, you scope and run the investigation and write up the findings, starting from a vague "something looks off," not a pre-scoped ticket.

Requirements
What We're Looking For
Required:
  • 3 to 5 years where finding what's missing or wrong was the job: data quality, completeness and validation, data audit, reconciliation, or investigative analytics. If your prior work was producing clean reports and dashboards, this is a different role. We're hiring the person who finds what those reports leave out.
  • Healthcare data, payer analytics, insurance operations, or RCM background: Dental not required, but you need to understand how benefit structures work (coinsurance, deductibles, frequency limits, network tiers).
  • Strong data skills: comfortable in SQL and Excel/Sheets, can write a structured query, build a pivot, and sanity-check a dataset without hand-holding. More important than tooling breadth is the instinct to distrust a clean-looking result and dig until you know why it's clean.
  • Self-directed ownership of an area. Point you at a payer, a domain, or a surface, and you run it: scope the questions, find the issues, frame them for a business audience, without per-step direction.
  • Clear written communication: Output is findings documents and structured reports, not just raw data.

Strong plus:
  • EDI X12 familiarity (270/271 eligibility transactions especially).
  • Experience at a health tech company, payer, or benefits administrator.
  • Comfort with Python or scripting for data manipulation.
  • Experience with parser output, portal data, or unstructured benefit text.

Growth Path
This is the first analyst hire on a growing data team. Several surfaces you'd eventually own, such as the data quality scorecard, deeper engineering interfaces, and the team's operating rhythm, are still being built. You'd help shape them rather than inherit fully-formed processes. The role anchors day-one as a data-quality specialist owning a defined slice of the pipeline, with specialization paths opening as the team matures: EDI and payer-depth analysis, customer-facing analytics delivery, or clinical/dental content expertise.
Why This Role
  • High-signal, low-noise work: you'll see anomalies across the entire benefit landscape before anyone else does, and you're the one trusted to catch them.
  • Direct impact: your findings drive parser fixes, product features, and QA standards.
  • Small team with high ownership: no queuing behind a data engineering backlog.
  • Comp: competitive for mid-level healthcare data roles in NYC.

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