Data Engineer

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Kinesis
Apache Airflow
Cloud Computing
Snow Flake Schema
Amazon Web Services
pipelines
Data Engineering
Data Integrity
Data Performance Tuning
Continuous Integration
Continuous Delivery
SQL
Python
dbt
Database
Performance Tuning

Job Details

Sky Solutions, LLC is a fast-growing Digital Transformation firm headquartered in the Washington, D.C. metro area. We partner with leading organizations across the Federal, Financial Services, and Healthcare sectors to deliver measurable business outcomes through AI, Digital Process Automation (DPA), and Low-Code/No-Code application development.
 
As a certified Small Disadvantaged Business (SDB) and Minority-Owned Business, we help our clients modernize mission-critical systems, accelerate transformation, and achieve sustainable growth. Guided by our values of Accountability, Collaboration, Empathy, and Self-Awareness, we are committed to excellence in every engagement.
 
We are now seeking a client-centric, high-performing VP of Capture to help us win transformative federal projects. If you bring a strong history of federal prime wins (pWin) and live and breathe capture strategy, let's talk!

 

Job Description:

Title: Data Engineer – Cloud Data Pipelines
Location: Reston, VA (Hybrid/Remote)
Employment Type: Full-Time
 
Overview
We are seeking a Data Engineer experienced in building scalable, cloud-native data pipelines and data products. The ideal candidate has hands-on experience with AWS, Snowflake, Airflow, dbt, and streaming or batch ingestion tools. This engineer will be responsible for developing ingestion pipelines, transformation logic, and curated datasets used across the enterprise.
 
Responsibilities

  • Build and maintain ingestion pipelines from multiple source systems (APIs, databases, streaming platforms).
  • Develop transformation logic using dbt to support curated data products.
  • Implement workflow orchestration using Apache Airflow.
  • Deploy and optimize Snowflake schemas, warehouses, and performance settings.
  • Collaborate with Data Analysts and Product Developers to translate requirements into scalable pipelines.
  • Ensure pipelines meet SLAs for latency, quality, and data availability.
  • Troubleshoot pipeline failures and perform root-cause analysis.
  • Work with DevSecOps to deploy pipelines via CI/CD in AWS.
 
Required Qualifications
  • 5+ years of Data Engineering experience
  • Strong experience with AWS data services (Lambda, S3, Glue, Step Functions, Kinesis, etc.)
  • Hands-on experience with Snowflake (warehouses, roles, integrations, performance tuning)
  • Proficiency with Airflow for scheduling/orchestration
  • Experience using dbt for transformations
  • Experience with SQL and Python
  • Experience integrating with APIs, SQL Server, Salesforce, or similar platforms
  • holders are contractually required for this role.
 
Preferred Qualifications
  • Experience with Kafka or OpenFlow ingestion
  • Experience with Precisely or similar data catalog/data integrity tools
  • Experience in GovCloud environments
  • Familiarity with UDM or enterprise semantic models
 
Sky Solutions Benefits & Culture at a Glance
  • Healthcare & Wellness
    • Medical, dental, and vision coverage tailored to your needs.
    • Supplemental options like life insurance, disability, HSA/FSA available.
  • Time Off & Work-Life Balance
    • Starting at 15 PTO days per year, increasing with tenure.
    • Plus 11 paid holidays to recharge and spend time with loved ones.
  • Professional Growth & Development
    • Annual education stipend.
    • Access to thousands of online courses.
    • Formal mentorship programs for career advancement.
  • Inclusive Culture
    • "One Team” mentality focused on collaboration and belonging.
    • Recognized as a Great Place to Work® for six years straight.
  • Evolving Benefits Based on Your Feedback
    • Employee surveys shape enhancements - "at least two benefits improved or recommended each year.”
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