Data Engineer

Position:
Data Engineer |

Location:

Boston, MA (Hybrid 3x in office) |

Employment Type:

Contract-to-hire

Contract Duration: 1-2 years

The data engineer is responsible for designing, building, and maintaining the systems and infrastructure needed for data storage, processing, and analysis. The data engineer will work with a multidisciplinary Agile team to build high-quality data pipelines, generate insights from connected data, and advance the company's data-driven decision-making capabilities.

• Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.
• Solves complex data problems to deliver insights that help the business achieve its goals.
• Creates data products for engineers, analysts, and data scientists to accelerate their productivity.
• Engineers effective features for modelling in close collaboration with data scientists and businesses.
• Leads the evaluation, implementation and deployment of emerging tools and processes for analytics data engineering to improve productivity as a team and quality.
• Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
• Fosters a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions.
• Advises, consults, mentors, and coaches other data and analytic professionals on data standards and practices.
• Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
• Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out the role effectively.

• Experience in building data pipelines and deploying/maintaining them following modern DE best practices - target tech stack:
  Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus
• Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases
• Strong understanding of agile methodologies and experience as a Data Engineer on a cross-functional agile team
• Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell
• Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space
• Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker)
• Experience working in data engineering or data architect role

• Bachelor’s degree in computer science, statistics, engineering, or a related field
• 3+ years experience as a Data Engineer, preferably in a large organization

• Focused on agile delivery with a “fail-fast, succeed early” mindset and measurable outcomes
• Flexibility to changes in work direction as the project develops according to highest-priority business needs
• Strong work ethic; ability to work at an abstract level and gain consensus
• Exemplary organizational skills with attention to detail, access, and quality assurance
• Excellent communication and listening skills, collaborating closely with multidisciplinary team members
• Have a “can do” attitude and thrive on a “test and learn” mentality