Jobs via Dice

Lead Analytics Engineer, W2, Hybrid

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Analytics Engineer in Boston, MA, offering a 12-month hybrid contract. Requires 10+ years in analytics engineering, strong SQL and dbt proficiency, and expertise in data modeling and cloud data warehouses.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 21, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Boston, MA
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🧠 - Skills detailed
#Data Warehouse #Snowflake #BigQuery #Vault #Cloud #Data Modeling #Docker #Databricks #Data Vault #Python #BI (Business Intelligence) #SQL (Structured Query Language) #Data Governance #Looker #Mathematics #GIT #Deployment #dbt (data build tool) #Redshift #Data Engineering #Computer Science
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SATCON Inc, is seeking the following. Apply via Dice today! Position: Lead Analytics Engineer Location: Boston, MA Hybrid Onsite: 2 days a week Duration: 12 Months + Contract Summary: The Senior Analytics Engineer will bridge the gap between Data Engineering and Analytics to enable end users to make the most of our data. The client does have a massive amount of incoming client data that’s unorganized. There’s a 3-year strategic roadmap to clean and structure it. The goal is to build out and mature their analytics environment, starting with new dbt models. The Engineer will handle data from all areas of the company and modeling that data using data modeling techniques. Qualifications: Bachelor Degree in Economics, Mathematics, or Computer Science 10+ years of experience in an Analytics Engineering role Strong proficiency in SQL Strong proficiency with dbt Expert modeling skills: Vault 2.0, 3NF, Dimensional Modeling, etc. Experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Databricks) Experience with git and CI/CD deployments Experience with Python and Docker Experience With Dbt-Elementary Or Great Expectations Is Preferred Experience with dbt-Osmosis or Great Expectations is preferred Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail. Experience with BI Tools (Looker or Preset) is a plus Has partnered with data governance, business/data owners, and cross-functional teams Has worked in multi-system, multi-domain data environments Familiar with modernization efforts, cloud data platforms, and structured data processes Candidate should be comfortable with: SQL DBT Modern cloud platforms like Snowflake, BigQuery, or Databricks (interchangeable) The key is how they model and govern data, not which data warehouse they use. Third Normal Form (3NF) Dimensional Modeling Experience with Data Vault is a strong plus