Elt Jobs Near Me

What our employees have to say:
BWC conducts an internal engagement survey on an annual basis.  Some comments from our employees include:

• BWC has been a great place to work as it has provided opportunities for growth that were lacking in my previous place of work.
• I have worked at several state agencies and BWC is the best place to work.
• Best place to work in the state and with a sense of family and support.
• I love the work culture, helpfulness, and acceptance I've been embraced with at BWC.
• I continue to be impressed with the career longevity of our employees, their level of dedication to service, pride in their work, and vast experience. It really speaks to our mission and why people join BWC and then retire from BWC.

If you are interested in helping BWC grow, please click this link to read more, and then come back to this job posting to submit your application!

BWC's core hours of operation are Monday-Friday from 8:00am to 5:00pm, however, daily start/end times may vary based on operational need across BWC departments.  Most positions perform work on-site at one of BWC's seven offices across the state.  BWC offers flextime work schedules that allow an employee to start the day as early as 7:00am or as late as 8:30am. Flex-time schedules are based on operational need and require supervisor approval.

We are seeking a highly skilled Senior ELT Developer / Data Warehouse Engineer to join our Data Warehouse team. In this role, you will design, develop, and optimize data solutions that power enterprise reporting, analytics, and business intelligence. You will work across multiple environments, support missioncritical data operations, and collaborate with technical and business leaders to deliver highquality, scalable data systems.

This position is ideal for someone who thrives in complex data environments, enjoys mentoring others, and is passionate about building robust, highperformance data pipelines and architectures.

This is a re-post. Previous applicants need to re-apply to be considered. 

What You'll Be Doing:

Data Engineering & ELT Development

• Design, develop, test, implement, and support complex platformspecific ELT code using tools such as Python, SQL, Snowflake, StreamSets, and DBT.
• Perform data migrations and design business process monitoring solutions.
• Implement highavailability and disasterresilient solutions across multiple data warehouse and reporting environments.
• Monitor load balancing and tune system parameters to ensure optimal performance across databases (e.g., Oracle, Snowflake).
• Provide Tier II technical support for database and ELT issues, including performance, availability, data integrity, security, and customerreported concerns.

Business Intelligence & Data Architecture

• Define and support Data Warehouse business intelligence designs.
• Assist in implementing Data Warehouses and data marts.
• Implement custom SQL solutions and data extracts for business customers.
• Build and support enterprise reporting, dashboards, scorecards, and analytic applications (e.g., Python, R).
• Replicate and transform data to support analytics and BI initiatives.
• Develop and maintain documentation, including installation procedures, monitoring guides, security policies, configuration changes, and migration processes.
• Write platformspecific code to support data migrations across development, UAT, performance, betaproduction, and production environments.

Performance Tuning & System Optimization

• Conduct performance tuning across multiple environments and platforms.
• Design standards for data exchange between internal systems and external entities, including data security models, encoding schemes, and data layouts.

Collaboration, Leadership & Support

• Work closely with the Data Warehouse Architect, IT Architecture team, CIO, and IT Managers to design solutions that meet enterprise requirements.
• Assist in evaluating solution designs, new technologies, and industry best practices.
• Mentor database administration specialists and junior ELT developers through both formal and informal training.
• Contribute to business cases and solution documentation.
• Create, monitor, and resolve trouble tickets, ensuring timely updates and communication of remediation progress.
• Prepare and submit weekly activity and status reports.

Additional Duties

• Develop database strategies to support evolving business needs.
• Expand knowledge of project planning principles, theories, and techniques.

• Perform related duties as assigned.

For more information, please click here.

To Qualify, You Must Clearly Demonstrate:

• 60 months combined work experience in any combination of the following: conducting performance tuning and configuration, creating data models and providing technical Tier II database support including 12 months work experience in Data Warehouse specified by the agency in the position description & job posting.
• OR completion of associate core program in computer science or information systems AND 42 months combined work experience in any combination of the following: conducting performance tuning and configuration, creating data models and providing technical Tier II database support including 12 months work experience in Data Warehouse specified by the agency in the position description & job posting. 
• OR completion of undergraduate core program in computer science or information systems AND 36 months combined work experience in any combination of the following: conducting performance tuning and configuration, creating data models and providing technical Tier II database support including 12 months work experience in Data Warehouse specified by the agency in the position description & job posting.
• OR equivalent of minimum class qualifications for employment noted above. 
  Note: The official position description on file with the designated agency is to reflect the required, primary technology directly relating to the duties of the position. Only those applicants possessing the experience in the required, primary technology listed in the position description & job posting are to be considered for any vacancies posted. The job posting must list the required technology commensurate with the position in question. 
  Job Skills: Database Administration
  Professional Skills: Attention to Detail, Interpreting Data, Problem Solving, Continuous Improvement, Analyzation
  Primary Technology: Data Warehouse

Major Worker Characteristics:
Knowledge of oral & written communication tools & techniques; customer support & personal service; technical writing & documentation practices; technology design; mathematic principles relative to data warehouse; Information Technology (IT) principles, methods & practices in data warehouse; state & Bureau of Workers' Compensation (BWC) policy, procedures & applicable laws*; vision, mission & goals of BWC*; systems performance management; IT lifecycle concepts; project management principles & methods; developing system-specific specifications, interrelationships of multiple IT specialties, database management principles & methodologies for data modeling (e.g. data normalization & de-normalization, star & snowflake schemas, dimensional modeling), interpretation of complex SQL, data modeling tools (e.g. Cognos FrameWork Manager Modeler, Erwin); entity-relationship diagrams; Oracle; SQL; Cognos Studios; Tableau, R; Power BI; Python; proof of concept efforts.
Skill in reading comprehension; speaking; service orientation; troubleshooting; critical thinking; using data recovery tools & techniques; complex problem-solving, judgment & decision making; assuring quality; identifying & specifying business requirements; lead work; database analysis & evaluation; developing & interpreting policy & strategies governing the planning & delivery of IT services.
Ability to prepare meaningful, accurate & concise reports; stay abreast of current technologies in area of IT assigned; provide expert technical advice, guidance & recommendations to management & other technical specialists on critical IT issues; define problems, collect data, establish facts & draw valid conclusions.

(*) developed after employment.