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

Database/Warehouse Management SupportWho 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 solutionsRunning current SQL, Python, and/or Tableau Prep ETL scriptsUsing various monitoring and evaluation methods to validate that data flowing through these pipelines is accurate and troubleshooting/addressing issues when they are discoveredData warehouse maintenance and supportImproving and better integrating scripts (ETL and validation) and warehouse elements into various data pipelines to achieve greater efficiency, reliability, and functionalityConstructing new ETL tools and warehouse components as necessary, specifically including a dedicated-use pipeline for a new collaborative research projectData CleaningWriting queries (SQL) and scripts (Python) to identify data quality problemsInvestigating the root cause of data quality problemsWorking with appropriate team members to determine appropriate data remediation and process improvement plansSkills & Competencies Required:BackgroundProcedural programming for data manipulation using PythonPHP, Java, or other languages are a plusKnowledge of relational database platforms, data modeling, and warehousingComfortable 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 scriptsAbove average SQL skills (e.g. familiar with subqueries, multiple joins, and grouping), specifically MySQL. SQL Server experience a plusComfortable with complex multi-stage, multi-technology ETL pipelinesProfessionalAbility to interpret and follow-through on data requirements and with strong attention to detailStrength 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 teamExcellent verbal and written communication skillsFamiliar with agile software development methodologiesInterest in identifying process improvement opportunities is a plusRequired: 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 SQLIntermediate Programming (Procedural and/or OO)Data Structures and AlgorithmsData Quality ManagementData Flow and AutomationAgile Project Management