SQL Data Engineer
$67K-$119K (Glassdoor est.)
Overview


ProSphere is seeking an experienced SQL Data Engineer to provide highly specialized applications and operational analysis. The Engineer assists with planning and supporting network and computing infrastructure and has knowledge of networking technologies. The Engineer is cognizant of all phases of software development with emphasis on the planning, analysis, modeling, simulation, testing, integration, documentation, and presentation phases. This is full-time position located in Austin, TX. Veterans are encouraged to apply.

Responsibilities
Develop, implement and maintain a scalable data management architecture to support the storage and querying of large datasets
Create and maintain data pipelines to automate the processing of large data sets
Help design and maintain efficient data collection workflows with other groups within the company
Manage and perform data analysis to identify data quality issues
Propose new technologies that could improve the way data is handled
Manage data security and provide efficient access to engineering teams
Communicate technical data and approaches to both technical and non-technical audiences
Perform Database maintenance
Building and analyzing dashboards and reports
Evaluating and defining metrics and perform exploratory analysis
Monitoring key product metrics and understanding root causes of changes in metrics
Empower and assist operation and product teams through building key data sets and data-based recommendations
Automating analyses and authoring pipelines via SQL/python based ETL framework
Qualifications
Master's Degree in Computer Science, Electronics Engineering or other engineering or technical discipline is required (10 years of additional relevant experience may be substituted for education)
5+ years' relevant experience as a data engineer or SQL developer.
Expertise in Relational Database Management Systems (RDMS) with proficiency in TSQL and PL/SQL.
Experience in Data Platform Tools such as SSIS, SSDT, SSMS, TOAD and Visual Studio.
Experience working in an environment using CRISP-DM and Agile methodology.
Experience in Data Engineering concepts such as ETL, ELT, performance optimization/tuning and automation of process flows.
Hands on experience writing SQL scripts, DDLs and stored procedures to perform simple to complex analysis.
Strong Communication, Presentation and Facilitation Skills. Must be able to explain data quality issues and impacts to a non-technical audience.
Strong and creative analytical skills to integrate and extract meaningful information from the data available.
Strong knowledge of data visualization tools such as PowerBI and Tableau.
Experience working with cloud computing such as Azure/AWS, cloud architecture, Hadoop, Github/Gitbash preferred.
Hands on experience with Python/R and working with Big Data is a plus.
Physical Demands
Typical office environment. Ability to sit and stand for extended periods of time
Ability to lift 5-20 lbs.
ProSphere offers full-time employees a comprehensive and competitive benefits package including paid vacation, sick leave, holidays, health insurance, life insurance, military leave, training, tuition reimbursement, a wellness program, short- and long-term disability, 401(k) retirement plan with company matches/immediate vesting, commuter benefits, and more.

It is ProSphere’s policy to promote equal employment opportunities. All personnel decisions, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits and termination, are made without regard to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability or any other characteristic protected by applicable federal, state or local law.
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