Data Engineer
- $80,000 - $100,000
- Raleigh, NC
- Remote
Fully remote Data Engineer opportunity // Data Modeling experience required!
A bit about us:
We are currently seeking a seasoned Data Engineer to join our dynamic Tech Services team. The ideal candidate will be a data enthusiast with a solid understanding of the latest data technologies and trends coupled with a strong desire to deliver top-notch solutions to our clients. The successful candidate will be responsible for designing, developing, and maintaining data architectures, databases, and processing systems. With a focus on ETL, Data Modeling, SSIS, Tableau, and PowerBI, this role will be integral in transforming data into readable, goal-driven reports for continued innovation and growth.
Why join us?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
Job Details
Responsibilities:
1. Design, develop, automate, and maintain productivity tools using programming, database or scripting languages to improve software modeling and development.
2. Design and implement ETL procedures for intake of data from both internal and outside sources; as well as ensure data is verified and quality is checked.
3. Collaborate with data architects, modelers and IT team members on project goals.
4. Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets.
5. Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.
6. Develop and implement data standards, ensuring data quality and consistency.
7. Perform data profiling to identify and understand anomalies.
8. Present information using data visualization techniques through Tableau and PowerBI.
9. Work closely with team members, clients, project managers, and other stakeholders to ensure solutions are delivered timely and accurately.
Qualifications:
1. Bachelor's degree in Computer Science, Information Systems, or a related field.
2. A minimum of 5+ years of experience in a data engineering role with a proven record of successful data manipulation.
3. Proficiency with ETL tools, SSIS, and experience with SQL/NoSQL databases.
4. Knowledge and experience in data modeling.
5. Experience with business intelligence tools like Tableau, PowerBI or similar.
6. Strong problem-solving skills, attention to detail, and ability to think critically.
7. Excellent written and verbal communication skills, with the ability to present complex data in a clear and concise manner.
8. Ability to work independently and with team members from different backgrounds.
9. Excellent organizational skills and the ability to manage multiple tasks concurrently.
10. A strong desire to learn and develop new skills, staying up to date with the latest data best practices and technologies.
11. Ability to work in a fast-paced, deadline-driven work environment.
1. Design, develop, automate, and maintain productivity tools using programming, database or scripting languages to improve software modeling and development.
2. Design and implement ETL procedures for intake of data from both internal and outside sources; as well as ensure data is verified and quality is checked.
3. Collaborate with data architects, modelers and IT team members on project goals.
4. Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets.
5. Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.
6. Develop and implement data standards, ensuring data quality and consistency.
7. Perform data profiling to identify and understand anomalies.
8. Present information using data visualization techniques through Tableau and PowerBI.
9. Work closely with team members, clients, project managers, and other stakeholders to ensure solutions are delivered timely and accurately.
Qualifications:
1. Bachelor's degree in Computer Science, Information Systems, or a related field.
2. A minimum of 5+ years of experience in a data engineering role with a proven record of successful data manipulation.
3. Proficiency with ETL tools, SSIS, and experience with SQL/NoSQL databases.
4. Knowledge and experience in data modeling.
5. Experience with business intelligence tools like Tableau, PowerBI or similar.
6. Strong problem-solving skills, attention to detail, and ability to think critically.
7. Excellent written and verbal communication skills, with the ability to present complex data in a clear and concise manner.
8. Ability to work independently and with team members from different backgrounds.
9. Excellent organizational skills and the ability to manage multiple tasks concurrently.
10. A strong desire to learn and develop new skills, staying up to date with the latest data best practices and technologies.
11. Ability to work in a fast-paced, deadline-driven work environment.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.