At a Glance
- Tasks: Lead data engineering strategy and develop scalable data pipelines for impactful analytics.
- Company: Join the State of Indiana, a major employer with diverse opportunities.
- Benefits: Enjoy competitive pay, comprehensive benefits, and a strong work-life balance.
- Other info: Dynamic role with mentorship opportunities and career growth potential.
- Why this job: Make a real difference in the lives of Hoosiers through innovative data solutions.
- Qualifications: Experience in data engineering and cloud platforms like AWS or Azure.
The predicted salary is between 79118 - 79118 € per year.
Work for Indiana and begin a fulfilling career with the State of Indiana by joining one of the largest employers in the state, offering a range of opportunities across 60+ agencies. At the state, you'll find competitive compensation, a robust benefits package, and a commitment to work-life balance. Most importantly, you'll have the chance to make a real and measurable impact on the lives of Hoosiers across Indiana.
About the Indiana Management Performance Hub (MPH): The Management Performance Hub provides analytics solutions tailored to address complex management and policy questions, enabling improved outcomes for Hoosiers. We partner with state agencies to use data in innovative ways and facilitate data-driven decision-making and data-informed policymaking.
Role Overview: The Senior Data Engineer develops and leads the MPH data engineering strategy, shaping modern integration practices and resolving enterprise challenges related to data quality, stewardship, and data movement. This role architects and implements scalable data pipelines across diverse sources, leveraging cloud platforms, ETL tooling, and advanced engineering methods to support analytics, reporting, and cross-system synthesis. This position requires an understanding of cloud architecture and data engineering in AWS and/or Azure.
The position contributes to data governance by implementing and enforcing data management policies and design standards while also guiding solution design alongside architects, project managers, and data science teams. Serving as both a technical expert and mentor, the Senior Data Engineer provides oversight on complex projects, communicates technical concepts to non-technical stakeholders, and drives continuous improvement across the data engineering function.
A Day in the Life: Responsibilities include:
- Develop the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time, event-based data integration, and crafting a universal vision for data integration.
- Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation.
- Perform extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
- Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
- Improve operations by conducting systems analysis; recommending changes in policies and procedures.
- Provide direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems.
- Develop the definition, implementation, and continued adherence of new data management policies and design standards for data engineering.
- Provide advice, training, and technical support for various projects.
- Participate and lead project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel.
- May oversee the throughput of work in progress assigned to the data engineering team.
- May lead data engineering projects as well as mentor team members on the projects they manage.
What You'll Need for Success: Credentials: Bachelor’s Degree with coursework in analytics, informatics, computer science, mathematics, and/or engineering and 4+ years of experience, or Master’s Degree with coursework in analytics, informatics, computer science, mathematics, and/or engineering and 2+ years of experience, or 7+ years of experience applying the outlined knowledge, skills, and abilities in a similar role. Related certifications and coursework may be considered for education or experience.
Additional qualifications:
- Experience utilizing data engineering/management platforms, concepts, languages, and tools.
- Experience/exposure to cloud computing platforms.
- Working knowledge of how the front-end reporting tool influences the relational database.
- Extensive knowledge of the most recent technical developments in Data Engineering.
- Broad knowledge base using SQL and/or Python to query and process large data sets to perform profiling, data quality assessments, manipulating data, drawing insights from large data sets, as well as being familiar with software needs for automation.
- Strong understanding of relational and dimensional databases, theories, architectures, principles, and extract, transform, load (ETL) practices.
- Strong communication skills and ability to communicate complex data engineering concepts to technical and non-technical staff as well as translate business requirements into technical specifications.
A degree is not required. However, at least 7+ years of experience applying the outlined knowledge, skills, and abilities in a similar role may be considered.
Benefits of Employment with the State of Indiana: The State of Indiana offers a comprehensive benefit package for full-time employees which includes:
- Three (3) medical plan options (including RX coverage) as well as vision and dental plans.
- Wellness Rewards Program: Complete wellness activities to earn gift card rewards.
- Health savings account, which includes bi-weekly state contribution.
- Deferred compensation 457(b) account (similar to 401(k) plan) with employer match.
- Two (2) fully-funded pension plan options.
- A robust, comprehensive program of leave policies covering a variety of employee needs, including but not limited to: 150 hours of paid New Parent Leave and up to eight weeks of paid Childbirth Recovery Leave for eligible mothers, up to 15 hours of paid community service leave, combined 180 hours of paid vacation, personal, and sick leave time off, 12 paid holidays, 14 in election years.
- Education Reimbursement Program.
- Group life insurance.
- Referral Bonus program.
- Employee assistance program that allows for covered behavioral health visits.
- Qualified employer for the Public Service Loan Forgiveness Program.
- Free Parking for most positions.
- Free LinkedIn Learning access.
Equal Employment Opportunity: The State of Indiana is an Equal Opportunity Employer and is committed to recruiting, selecting, developing, and promoting employees based on individual ability and job performance. Reasonable accommodations may be available to enable individuals with disabilities to complete the application and interview process as well as perform the essential functions of a role. If you require reasonable accommodations to complete this application, you can request assistance by contacting the Indiana State Personnel Department at jobs@spd.IN.gov.
Senior Data Engineer employer: City of Bloomington, Indiana
Join the State of Indiana as a Senior Data Engineer and become part of a dynamic team dedicated to making a tangible difference in the lives of Hoosiers. With competitive compensation, an extensive benefits package, and a strong commitment to work-life balance, you'll thrive in a supportive environment that fosters professional growth and innovation. Experience the unique opportunity to collaborate with various state agencies while utilising cutting-edge data engineering practices in a role that truly matters.
Contact Detail:
City of Bloomington, Indiana Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with the State of Indiana. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with cloud platforms like AWS or Azure, and how you've tackled data quality issues in past projects. We want to see you shine!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've resolved complex data integration challenges. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering, especially in cloud platforms like AWS or Azure. We want to see how your skills align with the role of Senior Data Engineer!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your ability to develop scalable data pipelines and manage data quality. This is your chance to shine, so let us know what you've achieved!
Keep It Clear and Concise:When writing your application, be clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at City of Bloomington, Indiana
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering concepts, especially around cloud platforms like AWS and Azure. Be ready to discuss your experience with ETL processes and how you've tackled data quality issues in the past.
✨Communicate Like a Pro
Since you'll be explaining complex technical concepts to non-technical stakeholders, practice simplifying your language. Think about how you can convey your ideas clearly and concisely, using examples from your previous work.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data integration or pipeline development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Be a Team Player
This role involves collaboration with various teams, so be ready to talk about your experience working with project managers, data scientists, and other stakeholders. Share examples of how you've successfully led projects or mentored team members in the past.