What are the responsibilities and job description for the Data Engineer position at Lensa?
Requisition ID: 173981
Job Level: Mid Level
Home District/Group: DHO Kiewit Data Services
Department: Data Services
Market: Corporate Home Office
Employment Type: Full Time
Position Overview
Do you have a passion for leveraging data to help solve interesting business problems? At Kiewit, we believe analytics can help to create an exceptional experience for our most valued resource – our people. Kiewit Data Services’ technical team is seeking a Data Engineer.
We are looking for someone with 2 to 5 years' experience developing data analytics and data engineering solutions as well as demonstrated experience leading and managing teams.
At Kiewit, the scale of our operations is huge. Our construction and engineering projects span across the United States, Canada and Mexico, improving and connecting communities with every initiative. We depend on our high-performing operations support professionals — they’re the glue that holds multiple areas of the business together and the catalysts that make things happen. We hire only the most driven people and we offer them diverse career opportunities, strong leadership and mentorship, rewarding, collaborative work, and responsibility they won’t find just anywhere. We’re always pushing new limits. You can too.
District Overview
Kiewit Data Services’ mission is to make Kiewit the premier data-driven company in our industry. Our districts rely on us to deliver the correct data of the right quality, with the right level of analysis, and to make it available to them at the right time. We are a cross-functional organization with employees who have expertise in data, technology, support and operations. Our core functions are data Quality, Governance, Enablement, Analytics and Data Science.
Location
We are willing to consider candidates who are able to work out of our LaVista office near Omaha, NE OR out of our regional office located in Lenexa, KS.
Responsibilities
Qualifications
We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Company: Kiewit
Job Level: Mid Level
Home District/Group: DHO Kiewit Data Services
Department: Data Services
Market: Corporate Home Office
Employment Type: Full Time
Position Overview
Do you have a passion for leveraging data to help solve interesting business problems? At Kiewit, we believe analytics can help to create an exceptional experience for our most valued resource – our people. Kiewit Data Services’ technical team is seeking a Data Engineer.
We are looking for someone with 2 to 5 years' experience developing data analytics and data engineering solutions as well as demonstrated experience leading and managing teams.
At Kiewit, the scale of our operations is huge. Our construction and engineering projects span across the United States, Canada and Mexico, improving and connecting communities with every initiative. We depend on our high-performing operations support professionals — they’re the glue that holds multiple areas of the business together and the catalysts that make things happen. We hire only the most driven people and we offer them diverse career opportunities, strong leadership and mentorship, rewarding, collaborative work, and responsibility they won’t find just anywhere. We’re always pushing new limits. You can too.
District Overview
Kiewit Data Services’ mission is to make Kiewit the premier data-driven company in our industry. Our districts rely on us to deliver the correct data of the right quality, with the right level of analysis, and to make it available to them at the right time. We are a cross-functional organization with employees who have expertise in data, technology, support and operations. Our core functions are data Quality, Governance, Enablement, Analytics and Data Science.
Location
We are willing to consider candidates who are able to work out of our LaVista office near Omaha, NE OR out of our regional office located in Lenexa, KS.
Responsibilities
- Deliver data engineering solutions that are efficient and scalable and meet the needs of our various stake holders.
- Translate requirements into effective and impactful solutions that enable information sharing across the enterprise.
- Design and develop using Python, Informatica, Azure Data Factory, Azure SQL, Snowflake
- Effectively use code repositories, work with IT to get any new required infrastructure setup. Get a deep understanding of Kiewit’s data platform.
- Ability to take on technical tasks and research on making processes more efficient.
- Stay current with new technologies and platforms.
- Participate in code reviews.
Qualifications
- Bachelor’s Degree or equivalent
- 2-5 years of demonstrated experience using Python, Informatica, Azure Data Factory.
- Experience with Azure platform, Azure Functions and REST api services.
- 2-5 years’ writing ANSI SQL on Microsoft SQL server (both on prem and azure) and Snowflake.
- Strong track record of successfully executing complex projects and/or projects involving multiple disciplines.
- Experience collaborating with senior managers to understand drivers of success and departmental goals.
- Strong customer management skills; ability to manage more than one client.
- Strong analytical, problem-solving, and communication skills (oral and written)
- Proven ability to self-direct work efforts and lead others
- Strong interpersonal, written, and verbal communication skills
- Team player with the ability to work independently to meet deadlines, goals and objectives
- Strong organization, time management, and attention to detail
- Regular, reliable attendance
- Work productively and meet deadlines timely
- Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
- Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
- Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Company: Kiewit
