Senior Data Ops Developer

Jobtailor; Minnesota; On-site; USD 85,000 - 110,000; Full time

Job summary

Jobtailor in Minnesota seeks a data engineer to design, implement, and maintain cloud-based data pipelines that support ingestion, storage, processing, and analysis of large data volumes.

The role requires collaborating with data engineers, analytics teams, and stakeholders to translate requirements into scalable solutions and build automated processes across business domains.

Qualifications

• 2–3+ years’ experience in data engineering, analytics engineering, DataOps, BI engineering, or related field.

Responsibilities

• Design, implement, and maintain cloud-based data pipelines for large data volumes.

Skills

Data Engineering

SQL Skills

Analytical Thinking

Written & Verbal Communication

Education

Bachelor's degree in CS/IS/DS/Engineering

Tools

Azure SQL

Spark

Data Lakes

Data Warehouses

Data Marts

Job description

• Design, implement, and maintain cloud-based data pipelines that support the efficient ingestion, storage, processing, and analysis of large volumes of data.
• Partner with data engineers, analytics teams, and business stakeholders to understand requirements and translate them into scalable, reliable, and maintainable technical solutions.
• Build automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment, Analytics, and other business processes.
• Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability, performance, extensibility, cost, security, and operational support.
• Integrate data from multiple disparate sources while maintaining data quality, integrity, accuracy, and timeliness.
• Design and optimize data storage and processing solutions, including data lakes, data warehouses, data marts, Azure SQL, and Spark-based workflows.
• Perform all responsibilities in accordance with company policies, procedures, security requirements, and internal controls.

Requirements

• 2–3+ years’ experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
• Strong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.
• Experience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.
• Strong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.
• Excellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.
• Ability to work independently, take ownership of assignments, and collaborate effectively as a positive and proactive team member.
• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.

Core Competencies

Demonstrates expertise in designing and implementing cloud-based data pipelines, with strong proficiency in SQL and experience in data storage solutions such as Azure SQL and data lakes. Capable of collaborating with stakeholders to translate business requirements into scalable technical solutions while ensuring data quality and integrity.

Highest-signal resume keywords

• Data Engineering
• SQL Skills
• Cloud Services (Azure)
• Data Pipeline Development
• Analytical Problem-Solving

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• SQL Skills
• Data Warehousing
• Data Lakes
• Data Processing Solutions
• Data Integration
• Data Quality Management
• DataOps
• Business Intelligence Engineering
• Analytics Engineering

Soft Skills

• Analytical Skills
• Strategic Thinking
• Creative Problem-Solving
• Written Communication
• Verbal Communication

Industry Keywords

• Cloud-Based Solutions
• Quote-to-Cash
• Quote-to-Fulfillment
• Data Quality
• Business Processes

Tools & Technologies

• Azure SQL
• Spark
• Data Lakes
• Data Warehouses
• Data Marts