Engineering Manager, Enterprise Data Warehouse & Analytics

Experience Required

None

Minimum Education Required

High School Diploma/G.E.D.

Compensation

$7.25 / hourly

Hours Per Week

40

Number Of Positions

1

Work Schedule and Shift Requirements

First (Day)

Job Description

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

Machinify brings together several payment integrity and recovery businesses for health plans. Each one produces numbers that executives, operations leaders, and clients act on. Your job is to make sure there is one warehouse, one conformed m odel, and one definition of every number.

The foundation is already in production: a Databricks lakehouse with 600+ dbt models, 1,800+ automated tests, Power BI semantic models, and LLM self-service on governed metrics. Your first priority isoperational measurement: building the trusted metrics our Operations leaders run their business on. Next, you'll extend the warehouse to new business domains with a repeatable, template-driven approach.

This is a hands-on Engineering Manager role on a flat team. You'll manage engineers and analysts directly and spend about half your time building: designing the dimensional m odel, writing and reviewing code, and setting the engineering standards. You'll partner closely with a Product counterpart who owns priorities and stakeholder intake, so you can focus on architecture, delivery, and the team.

What You'll Do

Own the data m odel. Design and evolve the conformed dimensional m odel and the standards the team builds against. Review every new m odel for grain and conformance.

Build and run the pipelines. Design ETL/ELT from source systems through bronze silver gold on Databricks, with incremental loads, data contracts, and Airflow orchestration.

Own the semantic layer. Build governed metrics in Unity Catalog metric views and Power BI semantic models, so every dashboard, report, and LLM query uses the same definitions.

Deliver reliable operational metrics. Turn KPI definitions from Product and Operations into certified models and metrics, reconciled to source and delivered through dashboards and self-service.

Assure the numbers. Own reconciliation, data tests, freshness and anomaly monitoring, SLOs, and CI/CD for data.

Modernize orchestration. Lead the move of dbt orchestration from dbt Cloud to Airflow without gaps in data freshness.

Partner with Product. Work with your Product counterpart and business stakeholders to shape requirements. You own the technical plan: architecture, sequencing, estimates, and trade-offs.

Lead the team. Manage, coach, and hire analytics engineers and BI analysts. Run sprint execution and set the bar for code review, testing, documentation, and AI-assisted development.

What You Bring

10+ years in data warehousing, data engineering, or analytics engineering, including 3+ years as a hands-on engineering manager.

Expert in dimensional modeling: grain, fact types, conformed dimensions, slowly changing dimensions, bridge tables, and the bus matrix. Has built an enterprise warehouse across multiple source systems and owned it in production

Expert SQL and dbt: complex SQL and performance tuning; dbt models, tests, macros, packages, and CI

Databricks in production: Spark SQL, Delta Lake, Unity Catalog, and medallion architecture. Deep Snowflake or BigQuery experience will be considered

Semantic layer: has built governed metrics (Databricks metric views, dbt Semantic Layer/MetricFlow, Cube, or Power BI semantic models) and the BI on top. Power BI/DAX preferred

ETL/ELT and orchestration: has designed and run production pipelines with incremental loads, snapshots or CDC, and Airflow (or a similar orchestrator). Python for pipeline work

Data quality: testing, reconciliation, observability, and CI/CD for data

Cross-functional partner: works well with a Product counterpart and business stakeholders. Turns requirements into technical designs and explains trade-offs in plain language

Nice to have

Healthcare claims or payment integrity data

Building operational KPIs with business operators

LLM-based self-service analytics (e.g., Databricks Genie)

Experience leading teams across time zones

What We Offer

Workfrom anywhere in the US!Machinifyis digital-first.

Full Medical/Dental/Vision for employees & their families

Flexible and trusting environment whereyou'llfeel empowered to do your best work

Unlimited FTO

Competitive salary, equity, 401(k) including employer match

Base Salary: $220,000-$260,000

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of r ace, color, ancestry, r eligion, s ex, national origin, s exual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at:https://www.machinify.com/candidate-privacy-notice/

Equal Opportunity Employer

Veteran Friendly Employer

Job Type

Full time

Benefits Offered

Not specified

Veteran Preference

No

Place of Work

On-site

Requisition ID

4486325009