Job Description
Senior Data Engineer
This role is with a Maris Financial Services Partner
Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week.
Senior Data Engineer
We are seeking a Senior Data Engineer to design, build, and manage scalable data pipelines that drive business decisions and power critical applications. This role requires a strong technical foundation in data engineering, business and system analysis, and data solution implementation.
Key Responsibilities
- Develop and maintain scalable data pipelines to ingest, process, and transform data from platforms like Salesforce, Pardot, and Adobe Analytics into the enterprise data warehouse.
- Ensure data quality, integrity, and consistency through validation and cleansing processes.
- Lead all aspects of SLA management for critical data pipelines.
- Collaborate with data scientists, analysts, and business partners to deliver high-quality data solutions.
- Optimize pipeline performance, ensuring scalability and adherence to best practices.
- Monitor and resolve data pipeline issues, working closely with support teams.
Qualifications & Skills
- 7+ years of data engineering experience, ideally including some experience with sales and marketing systems.
- Strong expertise in SQL and cloud data warehouses (Redshift, Snowflake or BigQuery).
- Hands-on experience with ETL tools such as Informatica, Talend, or AWS Glue
- Proficiency in Python, Java, or Scala for ETL development.
- Experience with cloud platforms (AWS preferred)
- Familiarity with DevOps, scheduling, and IT governance tools (Git, CodeCommit, Rundeck, Autosys, Jira, Azure DevOps, ServiceNow).
Job Tags
Local area, 3 days per week,