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Remote Lead Data Engineer Jobs (NOW HIRING)

Luxury Coastal Vacations

Lead Data Engineer

Destin, FL · On-site +1

$93K - $122K/yr

Description The Lead Data Engineer owns Awayday's ingestion and pipeline layer end to end, from each source system through to the landing and staging layers in Snowflake that every domain builds on.

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... data processing system projects, from requirements definition to installation. Lead technical ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... data processing system projects, from requirements definition to installation. Lead technical ...

Prophecy Technologies

Sr. Data Engineer - AWS

$117K - $140K/yr

Lead Data Engineer - AWS Location: Remote - USA Duration: 6 Months Hire Mode: Contract Client: Impetus Role Summary: We are looking for experienced Lead Data Engineers to design and build scalable ...

Worldmarket

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 ...

Blend360

Lead Data Engineer

Columbia, MD · On-site +1

$125K - $160K/yr

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... As a Lead Data Engineer, you will be expected to work independently on client engagements or to ...

Dentsu Aegis Network

Lead Data Engineer

$117K - $140K/yr

We'relooking for an Identity Data Engineer who is passionate about data quality, intellectually ... Our hybrid way of working combines remote flexibility with regular in-person collaboration to spark ...

8th Light

Lead Data Engineer (Remote)

$117K - $140K/yr

Actively sought out and given feedback What You'll Do At 8th Light As a data engineering lead on ... We hope to see you apply! #LI-Remote A Note on Your Privacy At 8th Light, one of our core values is ...

Ex Parte, Inc

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

You'll lead a team that owns the AI self-service portal and the related set of microservices. You'll work with a cross-functional team of engineers to contribute to our data platform. The role also ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$160K - $180K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · Remote

$160K - $180K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ...

Booz Allen Hamilton, Inc.

Data Engineer, Lead

Herndon, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247494 Location: Herndon,VA,US Share job via: Share Data Engineer, Lead The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Tranzeal Incorporated

Senior/Lead Data Engineer

$108K - $147K/yr

Job Summary : Tranzeal Incorporated is looking for a Senior/Lead Data Engineer to join their McKesson Decision Intelligence team. The role involves managing data exploration and analysis ...

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Remote Lead Data Engineer information

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

As of Aug 26, 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 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.

What are the key skills and qualifications needed to thrive as a remote lead data engineer?

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.
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Remote Lead Data Engineer jobs near you
Infographic showing various Remote Lead Data Engineer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,784 per year, or $59.5 per hour.

Lead Data Engineer

Luxury Coastal Vacations

Destin, FL • On-site, Remote

$93K - $122K/yr

Full-time

Posted 26 days ago

Job description

Description
The Lead Data Engineer owns Awayday's ingestion and pipeline layer end to end, from each source system through to the landing and staging layers in Snowflake that every domain builds on. It is a foundational mandate. You will build and run the pipelines that bring each source system into the warehouse, direct the offshore engineering team that builds alongside you, and hold the ingestion layer to a standard of reliability the rest of the team can depend on as the company continues to grow.
This is the engineering counterpart to our analysts. Where they own the models and metrics a business domain depends on, you own the data getting there reliably, on schedule, and to a standard the rest of the team can build on top of. The ideal candidate is a seasoned, hands-on data engineer, someone who pairs deep command of SQL, Python, and cloud-warehouse ingestion with the judgment to set standards and the leadership to bring an offshore team along.
The core of the role is building and running the ingestion pipelines, steering the offshore pod's delivery through its tech lead, and owning pipeline reliability. It also underpins our AI initiatives, since the governed data this seat lands and stages is the foundation our agentic assistant retrieves from.
Requirements
Key Responsibilities:
Pipeline Ownership and Ingestion
  • Build and maintain the ingestion pipelines that stage every source system feeding the warehouse, spanning our property-management systems and our market, revenue, operations, and web data.
  • Bring net-new source systems online end to end: API and file-drop ingestion, landing and staging layers, schema-drift handling, and the load strategies that keep them production-grade.
  • Own pipeline performance and cost, from orchestration efficiency to the cost-efficiency of the ingestion tier.
  • Stay accountable for the reliability and health of the ingestion layer, not only for shipping new pipelines.

Engineering Team Leadership
  • Set sprint direction, priorities, and delivery expectations with the offshore tech lead, who assigns work, runs QC and pull-request sign-off, and manages the pod day to day.
  • Maintain the technical bar on changes that touch shared ingestion standards or architecture, with the pod running peer review on the rest.
  • Grow the pod toward owned outcomes measured against a scorecard, rather than billed hours.
  • Coach and mentor the team's engineers, growing the team's capability and the quality of its output over time.

Reliability and Operations
  • Direct the offshore pod's response to the production bug queue and pipeline incidents, prioritizing and unblocking as needed.
  • Establish and run a SEV1 to SEV3 severity scale, incident response, and a monthly reliability report that separates inherited debt from new defects.
  • Uphold the debt-paydown capacity the operating model reserves, so reliability improves as the estate grows.

Standards, Governance, and Platform
  • Enforce the technical data contract each new source meets at ingestion (schema, types, freshness, and quality) to the standard the function lead sets.
  • Keep CI gates on every merge and hold the ingestion coding standards the pod builds to.
  • Implement the scoped, time-boxed contractor access model in Snowflake and AWS (roles as code, just-in-time elevation) to the governance standard set with IT Security.

Automation and Leverage
  • Generalize and automate new-shop onboarding for our property-management systems, so a new source type needs an engineer once and a new shop within an existing type is a config row and a checklist.
  • Decouple acquisition-driven brand growth from engineering headcount through repeatable, config-driven onboarding.

AI and RAG Enablement
  • Contribute to the team's AI and RAG initiatives: build and maintain the governed data and retrieval plumbing our agentic assistant depends on.

Qualifications:
  • 6+ years in data engineering, with demonstrated ownership of production ingestion and ELT pipelines at scale.
  • Expert SQL and strong Python for data engineering.
  • Deep hands-on experience with a cloud data warehouse for high-volume landing and staging, Snowflake strongly preferred.
  • Workflow orchestration in production, using Apache Airflow, AWS MWAA, or an equivalent.
  • API- and file-based ingestion (REST APIs, S3), incremental loads, schema-drift handling, and data-quality testing.
  • CI/CD for data pipelines and disciplined code review.
  • Experience leading engineers or delivering through a team, setting technical direction and standards others build to.
  • Powerful written and verbal communication skills to align an offshore team across time zones and to translate technical tradeoffs for non-technical stakeholders.
  • Practical, hands-on experience applying AI tools to real work, including LLM-assisted workflows and retrieval-augmented generation (RAG). You know how to structure prompts and context and ground models on trusted data sources. Deep AI-engineering theory is not required, only fluency putting these tools to work.

Preferred Qualifications:
  • Infrastructure as code (Terraform) and cloud security or RBAC design.
  • AWS data services beyond MWAA, such as S3, Glue, and Lambda.
  • Experience building metadata-driven or config-driven pipeline frameworks.
  • Openness to an evolving data stack, including evaluating orchestration, ingestion, or warehouse tooling beyond our current set as the platform matures.
  • Demonstrated leadership of offshore or distributed delivery teams, setting direction and standards and delivering through a tech lead.

Key Attributes:
  • Ownership mindset. Takes a system from raw source to reliable production and stays accountable for it.
  • Raises problems and improvements unprompted, rather than waiting for direction.
  • Sets the technical standard and mentors; holding said standard without becoming a bottleneck.
  • Calm and methodical under pressure.
  • An innate sense of curiosity and desire to help others.

Apply