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Manager Sql Data Engineer Jobs (NOW HIRING)

Data Engineer

North Richland Hills, TX · On-site

$99K - $119K/yr

Responsibilities : • Design, build, and maintain reliable data pipelines using SQL and Python • ... Required : • 2-3 years of professional experience as a Data Engineer or Analytics Engineer • ...

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Create, maintain and execute complex SQL queries for data management and data validation ... Mentor junior engineers and promote best practices in data engineering. Participate in meetings ...

Data Engineer

Dover, DE · Remote

$114K - $137K/yr

SQL Development & Optimization * Write and maintain complex SQL queries across large-scale clinical ... Build and manage indexes, partitioning strategies, and materialized views to support performant ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

... Factory, Azure SQL Database, Azure Synapse Analytics, and related technologies. * Data ... Cloud Infrastructure Management: Oversee Azure cloud resources, monitor usage, and apply best ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

... Factory, Azure SQL Database, Azure Synapse Analytics, and related technologies. * Data ... Cloud Infrastructure Management: Oversee Azure cloud resources, monitor usage, and apply best ...

Participate in Agile projects, manage priorities, and ensure timely delivery. * Data Architecture ... Create complex SQL queries, SSIS packages, stored procedures, and indexes. * Data Quality:

AWS Data Engineer (12+ yrs) - Full Time

Plano, TX · On-site

$109K - $131K/yr

Data science, MuleSoft, Kafka connect, SQL, Data visualization The opportunity: * Design, develop ... Build and manage cloud-based data lakes on Amazon S3 * Implement and optimize Snowflake data models ...

... M counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data ... SQL Data Analyst - ONLY LOCALS Duration - 6 months + Location - Seattle, WA - Local candidates only ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Platform Management: Maintain, monitor, and optimize our analytics data warehouses and overall data ... Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and ...

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Manager Sql Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do manager sql data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for manager sql data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a Manager SQL Data Engineer do?

A Manager SQL Data Engineer oversees a team responsible for designing, developing, and maintaining SQL databases that store and organize large amounts of data. They manage data engineering projects, ensure best practices in data modeling and ETL processes, and work closely with other departments to understand data needs. In addition to technical responsibilities, they provide leadership, mentor junior engineers, and ensure data security and integrity across the organization. Their role is critical in making sure data systems are efficient, reliable, and scalable.

How does a Manager SQL Data Engineer typically collaborate with cross-functional teams within an organization?

A Manager SQL Data Engineer frequently works alongside data analysts, software engineers, business intelligence teams, and key business stakeholders to ensure data solutions align with organizational goals. This collaboration often involves gathering requirements, translating business needs into technical specifications, and overseeing the development and deployment of data pipelines and databases. The manager also facilitates communication between technical and non-technical team members, ensuring that data strategies are clearly understood and effectively implemented across departments.

What are the key skills and qualifications needed to thrive as a Manager SQL Data Engineer, and why are they important?

To thrive as a Manager SQL Data Engineer, you need deep expertise in SQL development, database architecture, data modeling, and leadership experience, usually supported by a degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), ETL tools, and certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Strong communication, problem-solving, and team management skills help you effectively lead data engineering teams and collaborate cross-functionally. These skills ensure robust data solutions, efficient team performance, and alignment of data systems with business objectives.
More about Manager Sql Data Engineer jobs
What cities are hiring for Manager Sql Data Engineer jobs? Cities with the most Manager Sql Data Engineer job openings:
What are the most commonly searched types of Sql Data Engineer jobs? The most popular types of Sql Data Engineer jobs are:
What states have the most Manager Sql Data Engineer jobs? States with the most job openings for Manager Sql Data Engineer jobs include:
Infographic showing various Manager Sql Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Ragle Inc

North Richland Hills, TX • On-site

$99K - $119K/yr

Full-time

Posted 9 days ago


Job description

Job Summary:
Ragle Inc. is expanding its Data & Analytics team and is seeking a hands-on Data Engineer with 2–3 years of industry experience to help centralize and modernize operational, accounting, and project data. In this role, you will design and operate production-grade data pipelines that connect various systems, enabling analytics for multiple departments.
Responsibilities:
• Design, build, and maintain reliable data pipelines using SQL and Python
• Ingest data from Azure SQL databases, third-party APIs, and structured file sources (CSV/Excel)
• Help establish and maintain a centralized analytics data model (fact and dimension tables)
• Partner with analysts to support Power BI semantic models and improve dataset performance
• Implement data quality checks, logging, monitoring, and alerting
• Collaborate with business stakeholders to translate workflows into robust data products
• Contribute to version control, deployment, and data engineering standards (Git, environments)
• Support migrations away from manual Excel workflows toward automated, governed datasets
• Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data
• Optimize SQL queries, views, and table structures for analytics performance and incremental loads
• Maintain documentation for pipelines, datasets, schemas, and data contracts
• Assist with access control, governance, and data security best practices
• Troubleshoot refresh failures and performance bottlenecks across the data stack
Qualifications:
Required:
• 2–3 years of professional experience as a Data Engineer or Analytics Engineer
• Strong SQL skills (complex joins, CTEs, window functions, performance tuning)
• Hands-on Python experience for data processing (pandas, standard libraries)
• Experience with relational databases (SQL Server / Azure SQL, Postgres, or similar)
• Experience building and maintaining production data pipelines
• Understanding of data modeling concepts (star schema, keys, SCD basics)
• Familiarity with Power BI or similar BI tools
• Comfortable working directly with business stakeholders
Preferred:
• Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines)
• REST API ingestion experience
• ERP or operational systems integration exposure
• Git-based workflows and basic CI/CD
• Construction or asset-heavy industry experience
• Desire to grow into Senior Data Engineer or Analytics Lead roles
Company:
Ragle Inc. is a highly diversified Highway and Bridge Contractor that specializes in highway, heavy civil, and commercial projects. Founded in 1993, the company is headquartered in Newburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.