Data Engineer (SQL, Python) /Charlestown, MA( Remote), 6 Months Contract

Database/Warehouse Management Support

Who will support a variety of database/warehouse management, ETL scripting, and data validation tasks that include but are not limited to: querying databases, restructuring data, cleaning and validating data, performing manual ETL tasks, automating ETL tasks using tools and custom scripting, full pipeline management/monitoring, improving systems and processes, and documenting data systems. The qualified candidate will be highly detail-oriented and have a strong interest in and aptitude for data management and engineering. Some specific focus areas would be determined based on the candidate's skills and interests. The successful candidate must be highly organized, motivated, and able to thrive in a fast-paced team environment and must enjoy the challenge of a dynamic environment with evolving needs. It is extremely important that the candidate possess the ability to carefully keep track of multiple work streams.

Principal Duties And Responsibilities

Relevant activities include, but are not limited to the following:

• Utilizing, improving, and constructing ETL tools and data warehousing solutions
  • Running current SQL, Python, and/or Tableau Prep ETL scripts
  • Using various monitoring and evaluation methods to validate that data flowing through these pipelines is accurate and troubleshooting/addressing issues when they are discovered
  • Data warehouse maintenance and support
  • Improving and better integrating scripts (ETL and validation) and warehouse elements into various data pipelines to achieve greater efficiency, reliability, and functionality
  • Constructing new ETL tools and warehouse components as necessary, specifically including a dedicated-use pipeline for a new collaborative research project
• Data Cleaning
  • Writing queries (SQL) and scripts (Python) to identify data quality problems
  • Investigating the root cause of data quality problems
  • Working with appropriate team members to determine appropriate data remediation and process improvement plans

Skills & Competencies Required

• Background
  • Procedural programming for data manipulation using Python
  • PHP, Java, or other languages are a plus
  • Knowledge of relational database platforms, data modeling, and warehousing
  • Comfortable extracting data from and loading data into sources ranging from an Enterprise Data Warehouse to an Excel or text file, using built-in tools or custom-written ETL scripts
  • Above average SQL skills (e.g. familiar with subqueries, multiple joins, and grouping), specifically MySQL. SQL Server experience a plus
  • Comfortable with complex multi-stage, multi-technology ETL pipelines
• Professional
  • Ability to interpret and follow-through on data requirements and with strong attention to detail
  • Strength in independently validating and debugging code and analyses, including consulting documentation, Stack Exchange, etc.
  • Demonstrates personal initiative and time management skills, as well as the ability to work effectively and kindly as part of a team
  • Excellent verbal and written communication skills
  • Familiar with agile software development methodologies
  • Interest in identifying process improvement opportunities is a plus
• Required: Undergraduate degree in Health Informatics, Computer Science, Statistics, Mathematics, Engineering, or a related subject.

Preferred coursework would include most of the following :

• Intermediate Databases and SQL
• Intermediate Programming (Procedural and/or OO)
• Data Structures and Algorithms
• Data Quality Management
• Data Flow and Automation
• Agile Project Management