AI SCORE 8.5

Lead Data Engineer - Remote Opportunity with Relocation Support

$120K–$150K/year

About the Role

We are seeking a Lead Data Engineer to join our team at Capstone IT Staffing. This remote opportunity allows you to lead a high-performing team of data engineers, analysts, and BI developers within a large enterprise data organization. You'll be instrumental in delivering impactful data and analytics projects, including building data pipelines and modernizing legacy systems.

What You'll Do

  • Lead and mentor a small cross-functional team handling 3–4 simultaneous projects.
  • Own project delivery from design through deployment.
  • Engage in technical architecture and problem-solving discussions.
  • Oversee projects involving data pipeline development and optimization.
  • BI dashboard creation and maintenance.
  • Modernization of legacy data/reporting systems.
  • Support ad-hoc requests from leadership.
  • Collaborate with leadership to align tech work with business strategy.

Requirements

  • 7+ years in software/data engineering, including 4+ years in a lead role.
  • Proficient in Snowflake, SQL, Python, and modern ETL tools (dbt, Airflow).
  • Experience with BI tools like Power BI, Tableau, or Looker.
  • Strong multitasking skills with the ability to balance strategic and tactical work.
  • Excellent communicator with proven stakeholder collaboration experience.
  • Ability to lead remote teams effectively and foster team growth.

Nice to Have

  • Experience with cloud platforms (GCP, AWS, Azure).
  • Background in enterprise digital/data transformations.
  • Exposure to ML or data science pipelines is a plus.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 annually.
  • Relocation assistance provided after the initial 6-month contract.
  • Opportunity to work fully remote for the first 6 months.
  • Defined leadership path with promotion to Data Engineering Manager.
  • Comprehensive benefits package including health insurance and PTO.
  • Supportive team environment focused on professional growth.
Why This Job8.5 of 10

This Lead Data Engineer role offers a unique opportunity to lead a talented team while working remotely and receiving relocation support. The competitive salary and defined career path make it an attractive position.

Salary Range
Required
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Optional
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Bonus
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About Capstone IT Staffing

Explore Capstone IT Staffing careers in 2026 and discover exciting job opportunities in remote, hybrid, and office roles. Our platform features advanced filters, application tracking, and company insights to enhance your job search experience. Tailor your resume, score vacancies, and stay updated with industry news to secure your ideal position at Capstone IT Staffing. Start your journey to a fulfilling career today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Snowflake and SQL, demonstrating the ability to design and optimize data pipelines that enhance data accessibility and performance across various projects.

Self-motivated and adaptable, thriving in a remote work environment while effectively collaborating with cross-functional teams using tools like Slack and Zoom to ensure project goals are met.

Strong analytical mindset with a proven track record in Python programming and experience with dbt and Airflow for orchestrating workflows, allowing for the modernization of legacy systems.

Learning Resources

Snowflake Documentationguide

Career Path

Lead Data Engineer(Now)Data Engineering Manager(1-2 years)Director of Data Engineering(3-5 years)

Market Overview

Snowflake Market Size 2024
$6.5B
Annual Growth
25.2%
AI Adoption in Data Engineering
68%
Investment in Data Warehousing
+40%
Labour Demand for Data Engineers
+30%
Avg Salary for Lead Data Engineer
$130K

Skills & Requirements

Required
SnowflakeSQLPython
Growing in Demand
Data Lakehouse ArchitectureMachine Learning IntegrationCloud Security Best Practices
Declining
Traditional ETL Tools (e.g., Informatica)On-Premise Data Warehousing Solutions

Domain Trends

Rise of Real-Time Analytics
With a 40% increase in demand for real-time data processing, organizations are adopting Snowflake's capabilities to deliver instant insights.
Increased Focus on Data Governance
As data regulations tighten, 52% of companies are investing in Snowflake's governance features to ensure compliance and security.
Integration of AI and ML in Data Pipelines
Over 60% of data teams are incorporating AI/ML tools into their workflows, leveraging Snowflake's capabilities to enhance data processing efficiency.

Industry News

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