Data Engineer

Barton Associates Careers • Peabody, MA

6d • Onsite

About The Position

The Data Engineer will embed with Barton’s Data Engineering team to work on a variety of data related projects. This role will be exposed to the full data lifecycle- including, but not limited to, understanding & documenting requirements, working with transactional system data, ensuring data quality, building ETL packages, integrating new sources into the data warehouse and creating reporting & business intelligence. A successful applicant will have a natural curiosity about data & systems, enjoy solving complex challenges, and love all things data.

Requirements

• Strong communication (written and verbal) and interpersonal skills.
• 1-3 Years of Professional experience as a Data Engineer/BI Developer or similar roles.
• Experience with scripting languages like Python.
• Experience architecting and building data pipelines and optimizing them for speed (of imports, exports, and queries) and reliability.
• Understanding of ETL, Data Modeling, and large-scale data processing concepts is a must.
• Must be able to work independently as well as part of cross-functional teams.
• Extremely proficient in writing performant SQL working with large data volumes
• Experience with data visualization tools and software like Tableau, Domo or Looker.
• Bachelor’s degree in engineering, computer science, mathematics, economics or relevant field

Nice To Haves

• Experience working directly with business stakeholders to translate between data and business needs
• Working knowledge of cloud-native data engineering infrastructure
• Experience with Salesforce, Domo, Databricks, Snowflake, DBT and Airflow

Responsibilities

• Work with internal stakeholders to deliver business intelligence, from requirements documentation through report / dashboard delivery and creating a data pipeline.
• Work with API to ingest and process data
• Translate business use cases into a set of technical deliverables.
• Build data pipelines and data ingestions using SQL and Python
• Work with industry standard ETL and data orchestration tools such as Airflow, Informatica.
• Build and scale a robust data infrastructure that serves the entire organization
• Work with stakeholders including the Executive, Product, Customer teams to support their data infrastructure needs while assisting with data-related technical issues
• Keep current on big data and data visualization technology trends, evaluate, work on proof-of-concept and make recommendations on the technologies based on their merit
• Support data engineering efforts, including database and API design, data extraction/transformation/load, and data aggregation/integration.

Benefits

• Paid time off
• Paid holidays
• Team events and fundraisers
• 401k with match
• Excellent health insurance (low deductible PPO, dental, vision) with discounted gym membership

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level