Data Engineer

Compensation

: $83,690.00 - $125,470.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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The Data Engineer is responsible for ensuring the ongoing data needs of the organization are met through business intelligence, data warehousing, ETLs, data pipelining, and integrations. This involves creation of new features as well as maintenance and support of existing features. They will also be responsible for business intelligence, as well as optimization and tuning of database queries. They will be an expert of our data in one or many areas and will provide insight into our data for business decisions to be made from an internal or external consumer of this data. Responsibilities: Gather requirements; compile data; prepare and analyze results; distribute reports Interface with developers, product managers, and product analysts to understand data needs Combine data from a variety of sources for use in reporting, research, and support decision-making Use various software programs and tools, including statistical packages, to query, process and analyze data Develop, design, and launch new data extraction, transformation, and loading processes in production Develop, design, and test complex program logic in order to produce analytical reports Ensure data integrity; develop and produce reports utilized in measuring data accuracy Troubleshoot data issues, validate result sets, recommend and implement process improvements Improve performance and value of existing reports and tools; design and support production of new reporting processes Build API's for internal and external consumption Qualifications: BS/BA in technical field, Computer Science, Mathematics or relevant experience Experience in the data warehouse space is a plus Experience in custom ETL design, implementation, and maintenance Experience with data integration tools (e.g. SSIS, Pentaho) Experience with object-oriented programming languages (e.g. Python, Java, C#) Experience in writing SQL statements Experience in analyzation of data to help identify deliverables, gaps, and inconsistencies Experience with visualization tools (e.g. Power BI, Tableau, Qlik) Excellent verbal and written communication skills A keen attention to detail Experience in data analysis and report design/development SQL experience 3 years Query tuning / trouble shooting infrastructure related problems for SQL Server 2014 (preferred but not mandatory) - provided by Dice
Associated topics: data analyst, data analytic, data center, data manager, data quality, data warehouse, etl, mongo database, mongo database administrator, sybase * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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