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Remote Director Data Engineering Jobs in Haddonfield, NJ

Ennoble Care

Director of Data Engineering

Marlton, NJ · Remote

$116K - $139K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to ...

Ennoble Care

Director of Data Engineering

Philadelphia, PA · Remote

$115K - $138K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to ...

IntegriChain

Director, Data Solutions

Philadelphia, PA · On-site +1

The Director, Data Solutions, leads and supports the delivery of data-focused implementation ... Partner with internal data engineering, product, and client delivery teams to define and prioritize ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed) Our client is building a data-driven ...

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Remote Director Data Engineering information

See Haddonfield, NJ salary details

$70.3K

$187.6K

$244.7K

How much do remote director data engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote director data engineering in Haddonfield, NJ is $187,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,300.00 and $243,700.00 per year, depending on experience, location, and employer.

Can I make 200K as a data engineer?

A remote data engineer with seniority, extensive experience, and expertise in tools like cloud platforms and big data technologies can potentially earn a salary of $200,000 or more, especially in high-demand markets. Compensation varies based on location, company size, and skill level, with senior roles often reaching or exceeding this figure.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries of $300,000 or more annually. Compensation often depends on industry, location, company size, and additional certifications or specialized knowledge.

What engineers make $200,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $200,000 or more annually. Compensation varies based on industry, location, and company size, with roles often requiring strong programming, data architecture, and leadership abilities.

What engineers make $500,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. Such compensation often includes base salary, bonuses, and stock options, typically in large tech companies or organizations with high data demands.
What cities near Haddonfield, NJ are hiring for Remote Director Data Engineering jobs? Cities near Haddonfield, NJ with the most Remote Director Data Engineering job openings:
Remote Director Data Engineering jobs near you
Infographic showing various Remote Director Data Engineering job openings in Haddonfield, NJ as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $187,579 per year, or $90.2 per hour.

Director of Data Engineering

Ennoble Care

Marlton, NJ • Remote

$116K - $139K/yr

Full-time

Re-posted 6 days ago

Ennoble Care rating

4.2

Company rating: 4.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

ABOUT THE ROLE

We're hiring a hands-on technical leader to strengthen and expand Ennoble's ACO analytics data infrastructure. You'll own the design of a unified data platform integrating our Medicare claims feeds (DPC, CCLF, BCDA), CMS alignment and benchmark files, in-house clinical systems, and external vendor data into a single, accurate, queryable layer. We expect this person to bring engineering rigor and AI-augmented practices to our team.

You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to work with — using LLM coding assistants (e.g., Claude Code under BAA), automated QA, autonomous data-quality agents, intelligent cross-source reconciliation, MCP servers as needed, and conversational query layers to engineer faster and more reliably. You'll own our large-scale analytics platform and web app rollout as the team's analytical foundation, and share these practices with the rest of the team. Individual contributor today, with a clear path to building and leading an engineering team as scope grows.

WHAT YOU'LL DO

  • Strengthen and expand our analytics data warehouse infrastructure
  • Apply AI-augmented engineering in daily work: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
  • Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
  • Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
  • Lead large-scale analytics platform and web app implementation, integration, and maintenance
  • Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)

WHAT WE'RE LOOKING FOR

  • Data engineering depth: Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
  • Platform: Microsoft Azure — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks experience a strong plus
  • SQL & Python: Expert T-SQL; Python proficient for ingestion utilities, internal web apps, and AI-agent tooling
  • Data modeling: Experience designing unified/canonical models across heterogeneous source systems
  • Data integrity: Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
  • Healthcare data: Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
  • AI fluency: Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable using these tools to ship reliable engineering work on a small team
  • DevOps: Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
  • Communication: Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders

CURRENT SCALE

  • ~40,000 attributed patients across MSSP, ACO REACH, GUIDE, and LEAD
    • Various alignment, benchmark, and claim files spanning CMS/CMMI programs across multiple ACOs
  • Three distinct Medicare claim feeds (DPC, CCLF, BCDA), each with its unique schema, inconsistencies, and challenges
  • Internal clinical/operational data systems and structures
  • External vendor data feeds, with planned data source expansion as Ennoble Care's ACO portfolio grows
  • Existing data engineering foundation to continue building upon

WHAT WE OFFER

  • Foundational, hands-on technical leadership at one of the nation's fastest-growing home-based care providers
  • A working analytics stack to build on — production pipelines, active models, and a team already shipping
  • Mission-driven culture focused on improving outcomes for homebound Medicare patients

Full-time employees qualify for the following benefits:

  • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
  • Paid Time Off
  • Paid Office Holidays

All employees qualify for these benefits:

  • Paid Sick Time
  • 401(k) with up to 3% company match
  • Referral Program
  • Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

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