Job Title: Senior Data Engineer III

Company Name: Forsyth Barnes

Job Url: https://www.linkedin.com/jobs/view/4376867200/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=%2FmsPI26FHEIUAK8H3mlkOw%3D%3D&trackingId=NCS%2FXgXVonzNWl49uOvrFA%3D%3D

Job Description: About the job
Job Title: Senior Data Engineer III (Ref: 195740)

Location: USA – Remote

Salary: $145,000 – $170,000 + Bonus

Contact: Jessica.Dobie@forsythbarnes.com



We’re looking for a highly skilled and motivated Senior Data Engineer III to build and scale a

, fast-moving organization. This is a unique opportunity to own end-to-end data pipelines and models while shaping data strategy that drives real business outcomes.

In this role, you’ll work closely with Engineering, Analytics, Operations, Finance, Marketing, and Customer Support to create a reliable, analytics-ready data environment. You’ll help simplify a diverse data ecosystem, enable self-service analytics, and lead long-term initiatives that impact both revenue growth and operational efficiency.



What You’ll Do

Design, build, and maintain scalable, reliable data pipelines using Airflow, dbt, Rivery, Python, and SQL
Translate business goals into high-impact data solutions for forecasting, performance tracking, and optimization
Develop and maintain clean, well-documented data models in Snowflake and BigQuery
Integrate data from internal systems and external sources (e.g., Google Analytics and third-party APIs) to enable full-funnel visibility
Enable self-service analytics through optimized semantic layers and performance tuning in BI tools such as Tableau
Build monitoring and observability frameworks to ensure data quality and pipeline health
Partner on cloud architecture and infrastructure design using AWS, Pulumi, and Docker
Establish documentation and engineering standards to ensure scalable, maintainable data systems
Act as a strategic data partner to stakeholders, influencing roadmap and long-term data initiatives


What You’ll Bring

7+ years of experience in data engineering, analytics engineering, or related technical roles
Advanced proficiency in SQL and Python with strong software engineering fundamentals
Hands-on experience with Snowflake and/or BigQuery, including data modeling and performance tuning
Experience with orchestration and transformation tools such as Airflow and dbt
Strong experience with AWS services for data and infrastructure (Batch, ECR, Lambda, etc.)
Familiarity with BI and analytics tools (e.g., Tableau) and supporting self-service analytics
Experience with marketing and product data sources, including Google Analytics
Deep understanding of ETL/ELT patterns and modern data warehousing architectures
Experience with CI/CD pipelines and DevOps practices in data engineering environments
Strong API integration experience
Familiarity with Agile/SCRUM workflows and tools such as Jira
Strong documentation and cross-functional communication skills


Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
7–10+ years of progressive experience in data engineering or analytics engineering