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Lead Data Engineer

  • Remote
  • 6+ years

Salary

$110,000 - 145,000/ year

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Description

The company believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

This position is contingent upon contract award.

We’re looking for a Lead Data Engineer to join our VA team, setting the technical approach for moving legacy data warehouse data and pipelines onto an Azure and Databricks lakehouse.

What you'll be doing:

Set the technical approach for migrating data and pipelines onto the lakehouse

Guide migration teams on patterns, reconciliation, and quality gates

Design reusable migration pipelines using Azure Data Factory and Azure Databricks

Define how source and target data are reconciled to confirm accuracy

Resolve the hardest pipeline and performance problems

Mentor data engineers and review their work

Partner with product, QA, and platform teams

What you’ll bring:

Data engineering leadership on large migration or modernization programs

Deep experience with Databricks or Spark and Azure Data Factory

Strong SQL and Python skills

Experience moving legacy ETL and data warehouse workloads to the cloud

Understanding of lakehouse and medallion architecture, including Delta

Experience in federal or regulated data environments is a plus

Thrives in a remote, collaborative Agile environment and genuinely enjoys leading and mentoring engineers

Communicates clearly and openly, whether setting technical direction or aligning with the customer

Perform other related duties as assigned

Requirements

  • Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.
  • Education:
  • Bachelor's Degree

Conditions

At the company, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $110,000 – $145,000

Benefits

  • Fully remote
  • Tech & Education Stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays
  • Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:
  • The company is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an the company HR representative to request such an accommodation by emailing the company's site
  • The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
  • At the company, we may use AI-assisted tools as part of our recruitment process to help review applications, verify applicant information, and identify potentially fraudulent submissions. These tools support our recruiting team in maintaining a fair and secure hiring process. AI-generated findings are reviewed by our recruiting team and are not used as the sole basis for hiring decisions.

Where you’d work

Fully remote

No visa sponsorship

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 7 good signs
  • 1 red flag

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • States its salarySlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Lead level: far fewer people qualifySlight evidence
  • Pays below most similar roles, which thins the crowdSlight evidence

Against it1

  • Remote from anywhere: the widest pool of applicants there isModerate evidence

Fits Me

How well does this role fit you?

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  • Your field
  • Level
  • Stack
  • Work model
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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • Azure
  • Spark
  • Databricks
Seniority
Lead
Type
Contract
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Lead
Experience
6+ years
Tech stack
  • Python
  • SQL
  • Azure
  • Spark
  • Databricks

Location

Work model
Remote
Region
United States
Visa sponsorship
Not sponsored

Compensation

Salary
$110,000 - 145,000 / year
Pay period
Annual

Employment

Type
Contract

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