Data Engineers build systems that collect, manage, and convert raw data into usable information for analysts and decision-makers. They design pipelines, optimize data flows, and ensure data integrity and security across platforms.
Use our expert-written data engineer job description template to attract top talent. It includes essential duties, skills, average salary, and more.
May 20, 2025
Job Title: Data Engineer
Location: [Insert Location]
Job Type: [Full-time/Part-time/Contract]
Reports To: Data Engineering Manager / Head of Data & Analytics
We are seeking a skilled and detail-oriented Data Engineer to join our growing data team. The ideal candidate will be responsible for designing and maintaining data pipelines, integrating data from various sources, and building infrastructure that enables data-driven decision-making across the organization.
Interested candidates are invited to send their resume and a brief cover letter highlighting their experience building data pipelines, managing large-scale data environments, and collaborating with analytics teams. Please apply at [email protected] or contact us at +1 999999999 for more information.
Job Title: Data Engineer
Location: [Insert Location]
Job Type: [Full-time/Part-time/Contract]
Reports To: Data Engineering Manager / Head of Data & Analytics
We are seeking a skilled and detail-oriented Data Engineer to join our growing data team. The ideal candidate will be responsible for designing and maintaining data pipelines, integrating data from various sources, and building infrastructure that enables data-driven decision-making across the organization.
Interested candidates are invited to send their resume and a brief cover letter highlighting their experience building data pipelines, managing large-scale data environments, and collaborating with analytics teams. Please apply at [email protected] or contact us at +1 999999999 for more information.
In the United States, Data Engineers earn an average salary between $125,953 and $199,097 per year, depending on experience, industry, and location. Senior-level engineers or those with cloud and big data expertise often earn significantly more.
With a well-defined job description, you can attract highly qualified data engineers who will power your business intelligence efforts and improve decision-making through clean, actionable data.
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A data engineer is a technical professional responsible for building systems that gather, process, and store data for use by analysts and business leaders.
Data engineers design and manage data pipelines, ensure data quality, and support analytical platforms by integrating data from various sources.
Core duties include building ETL processes, managing databases, optimizing queries, implementing data governance, and collaborating with data teams.
Look for candidates with experience in cloud platforms, big data tools, and pipeline automation. Use a detailed job description and platforms like Skima AI to filter top candidates efficiently.
