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Remote Lead Data Engineer Jobs (NOW HIRING)

We are seeking a Lead Data Engineer to architect, build, and scale our next-generation healthcare ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Lead Data Engineer

Atlanta, GA · On-site +1

$160K - $183K/yr

Lead Data Engineer positions offered by Cox Automotive Corporate Services, LLC (Atlanta, Georgia). Design simple and scalable solutions to complex problems and deliver leading edge software products ...

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

Role: Lead Data Engineer with Vertex AI Location: Alpharetta, GA Mode of work: 5Days Onsite Looking for 12+years profiles only Visa: USC & GC only (It's a W2 Role) Core Responsibilities: We are ...

Lead Data Engineer

$120K - $157K/yr

The Lead Data Engineer is responsible for the design, development, and implementation of Microsoft ... Ability to mentor other team members in cloud technologies Working Conditions: 100% Remote.

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location ... Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ...

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location ... Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ...

Lead Data Engineer 3624301

Richmond, VA · Remote

$114K - $187K/yr

The Lead Data Engineer will help establish the reliable, governed, and scalable data foundation ... What's In Store For You This is a full-time, remote opportunity for candidates residing in approved ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Lead Data Engineer

New Brunswick, NJ · On-site +1

$170K - $190K/yr

Lead Data Engineer Job Code: A011.8547 Job Location: New Brunswick, NJ Job Type: Full-Time Rate of Pay: $170,000 - $190,000 Job Duties: Lead portfolio of data engineering projects working on multi ...

Lead Data Engineer

$117K - $140K/yr

They are seeking a Lead Data Engineer to own and evolve their core data infrastructure, collaborating with data scientists and business analysts to ensure data is clean, accessible, and trustworthy.

Lead Data Engineer

New York, NY · Remote

$190K - $220K/yr

We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

Lead Data Engineer

New York, NY · On-site +1

$190K - $220K/yr

We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer (Databricks)

$104K - $138K/yr

As a Lead Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data engineering engagements, someone who can sit across the table from a client's data leadership team ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

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Remote Lead Data Engineer information

See salary details

$42.5K

$123.8K

$180.5K

How much do remote lead data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote lead data engineer in the United States is $123,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Lead Data Engineer, and why are they important?

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a Remote Lead Data Engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a Remote Lead Data Engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
More about Remote Lead Data Engineer jobs
What cities are hiring for Remote Lead Data Engineer jobs? Cities with the most Remote Lead Data Engineer job openings:
What are the most commonly searched types of Lead Data Engineer jobs? The most popular types of Lead Data Engineer jobs are:
What states have the most Remote Lead Data Engineer jobs? States with the most job openings for Remote Lead Data Engineer jobs include:
Infographic showing various Remote Lead Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,784 per year, or $59.5 per hour.

Full-time

Re-posted 11 days ago


Job description

We are seeking a Lead Data Engineer to architect, build, and scale our next-generation healthcare data platform. In this role, you will lead the effort to design robust pipelines, modernize data architecture, and ensure high-quality ingestion and transformation of clinical and operational data. You'll collaborate closely with product, analytics, clinical informatics, machine learning, and engineering teams to deliver trusted, timely, and compliant insights.
This is a hands-on leadership role ideal for someone who enjoys setting technical direction while still contributing code and guiding stakeholders through complex healthcare data challenges.
Responsibilities
Architecture & Strategy
  • Lead design and evolution of our cloud-native data platform built primarily on Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow (Cloud Composer), and Healthcare API.
  • Inform strategic decisions around multi-cloud or AWS interoperability when needed.
  • Establish data engineering best practices, coding standards, and architectural patterns.
Pipeline Development
  • Build scalable ETL/ELT pipelines using dbt for transformations and Airflow for orchestration.
  • Develop ingestion pipelines for clinical and administrative data in HL7, FHIR, DICOM, and custom formats.
  • Develop ingestion and transformation pipelines to be used for AI/ML development and model training.
  • Implement streaming and batch dataflows using Pub/Sub, Dataflow, and serverless compute.
  • Support or guide integrations with AWS-based partner systems or AWS-hosted data sources when applicable.
Data Modeling & Warehousing
  • Design and maintain BigQuery datasets, semantic layers, and warehouse structures.
  • Leverage industry standards such as FHIR resources for canonical healthcare models.
  • Provide guidance on data modeling and warehouse best practices across both GCP and AWS ecosystems.

Data Quality, Observability & Governance
  • Implement data quality frameworks, automated testing, and monitoring.
  • Ensure HIPAA compliance and proper handling of PHI/PII across all pipelines and cloud environments.
  • Drive lineage, documentation, metadata governance, and dbt docs adoption.
Leadership & Collaboration
  • Partner with analytics, product, clinical informatics, and security teams to deliver high-quality, trustworthy data products.
  • Provide oversight and technical direction for multi-cloud data integrations with AWS-based systems or partners.
  • Assist in the recruitment and development of junior data engineers

Requirements
  • 7+ years of data engineering experience; 2-3+ years in a lead or senior technical role.
  • Deep, hands-on expertise in GCP, particularly:
    • BigQuery
    • GCP Healthcare API (FHIR and DICOM stores)
    • Cloud Storage, Pub/Sub, Cloud Run/Functions
  • Strong proficiency with:
    • dbt (Core or Cloud)
    • Airflow (Cloud Composer or self-managed)
    • Python and advanced SQL (BigQuery preferred)
  • Hands-on experience with healthcare standards:
    • FHIR (R4/US Core), HL7 v2/v3, DICOM, C-CDA, X12
  • Strong understanding of PHI handling, HIPAA compliance, and healthcare interoperability.
Preferred
  • AWS experience, especially with:
    • Redshift, Lambda, S3, Glue, Kinesis, Athena, API Gateway, Step Functions
  • Experience building or maintaining multi-cloud pipelines bridging GCP and AWS.
  • Background with Dataflow/Beam or other stream processing frameworks.
  • Experience working with EHR integrations, claims processing, HIEs, or clinical data networks.
  • Familiarity with ML-enabled data pipelines or feature engineering in healthcare contexts.

Benefits
Why Join Us?
Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.