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Full Time Sql Data Engineer Jobs (NOW HIRING)

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop data transformation logic using Python, SQL, and DBT/Dataform * Help ensure data quality ... Data Engineering / Data Pipeline Development Preferred Skills * BigQuery * Dataflow * Pub/Sub * DBT ...

Data Engineer

Columbia, MD · On-site

$114K - $138K/yr

Citizenship required . * 14+ years of experience in data engineering, software engineering, or ... Solid understanding of data formats (JSON, XML, SQL schemas, compressed formats) * Experience with ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Role - Data Engineer Location - New Jersey, NJ Type - Full-Time Lead the development and ... Knowledge of SQL, data modeling, and ETL/ELT processes. Understanding of cloud platforms (AWS ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Knowledge of relational and non-relational database technologies, including SQL or GraphQL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Jamul, CA

$61K - $141K/yr

Knowledge of relational and non-relational database technologies, including SQL or GraphQL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Knowledge of relational and non-relational database technologies, including SQL or GraphQL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Knowledge of relational and non-relational database technologies, including SQL or GraphQL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the ... Develop and optimize SQL queries, ETL processes, and data pipelines * Collaborate with business ...

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Full Time Sql Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do full time sql data engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for full time 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 Full Time SQL Data Engineer do?

A Full Time SQL Data Engineer is responsible for developing, maintaining, and optimizing databases using SQL (Structured Query Language). They design data models, write complex queries, and ensure data integrity and security within the organization’s systems. SQL Data Engineers also collaborate with analysts and other IT professionals to support reporting, analytics, and data-driven decision making. Their work often includes automating data pipelines and troubleshooting performance issues to keep databases running efficiently.

How does a SQL Data Engineer typically collaborate with data analysts and other stakeholders in a full-time role?

As a full-time SQL Data Engineer, you’ll frequently work alongside data analysts, business intelligence teams, and sometimes software developers. Your primary responsibility is to design, build, and maintain databases and ETL processes, ensuring data is accessible, reliable, and well-structured for analysis. Regular collaboration involves understanding stakeholder data needs, troubleshooting data issues, and optimizing queries to improve performance. Effective communication and a proactive approach to problem-solving are crucial, as you may need to translate business requirements into technical solutions and provide guidance on best practices.

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

To thrive as a Full Time SQL Data Engineer, you need strong expertise in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, MySQL, or PostgreSQL), ETL tools, and sometimes certifications like Microsoft Certified: Azure Data Engineer Associate are typical requirements. Analytical thinking, problem-solving, and effective communication are crucial soft skills that set top performers apart. These capabilities are vital for ensuring robust data infrastructure, maintaining data integrity, and supporting business decision-making processes.
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Senior Specialist - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Charlotte, NC • On-site

$111K - $134K/yr

Full-time

Posted 21 days ago


Job description

Job Title Snowflake Data Engineer Data Validator ITAR Export Control Project
Job Description
We are seeking a skilled Snowflake Data Engineer to join our ITAR International Traffic in Arms Regulations project team As a Snowflake Data Engineer you will be responsible for designing building validating and maintaining scalable Snowflake data pipelines and solutions in compliance with ITAR regulations The ideal candidate should have extensive experience with Snowflake Core SQL Skills Cloud ETL processes Python GitHub ControlM Redwood orchestration and a strong understanding of ITAR compliance requirements
Key Responsibilities
Snowflake Data Modeling Design and implement efficient data models in Snowflake to support ITAR compliance requirements Optimize schema designs for performance and scalability
ETL Development Develop ETL processes on IICS Informatica Integration cloud Services to extract transform and load data from various sources into Snowflake Ensure data quality accuracy and integrity throughout the ETL pipelines
Snowflake Implementation Configure and optimize Snowflake features such as clustering materialized views and automatic scaling to maximize performance and minimize costs
Compliance Ensure that all data processing activities adhere to ITAR regulations Implement security controls and encryption mechanisms to protect sensitive data
Performance Tuning Monitor and analyze the performance of Snowflake data pipelines Identify bottlenecks and optimize queries and processes for improved efficiency
Data Validation Validating the Data rules created by the development team as part of Data validation
Collaboration Work closely with crossfunctional teams including data scientists analysts and IT professionals to understand data requirements and deliver robust data solutions
Documentation Create comprehensive documentation for Snowflake data pipelines including data models ETL processes and compliance procedures
Troubleshooting Investigate and resolve datarelated issues promptly Provide support and troubleshooting assistance to endusers when necessary
Continuous Improvement Stay updated with the latest Snowflake features and best practices Continuously evaluate and propose enhancements to existing data infrastructure
Offshore Peer team management Coordinate and be flexible in coordinating with the peers from offshore and onsite team engagement Should be flexible in delivering the tasks on time and ready to work on business critical adhocrequests
Qualifications
Must have 8-15 years of tool business experience
Minimum Bachelors degree in Computer Science Information Technology or related field
Must possess handson experience in Snowflake and demonstrate a strong ability to write and optimize code on a daily basis ensuring efficient data operations management
Proven experience as a Snowflake Data Engineer preferably in ITARregulated environments
Strong proficiency in SQL data modeling and IICS ETL processes Should have Core SQL Knowledge
Experience with Snowflake features like Data retention clustering materialized views Data shares Clones resource monitoring
Familiarity with ITAR compliance requirements and regulations
Excellent problemsolving skills and attention to detail
Strong communication and collaboration skills
Ability to work independently and as part of a team
Relevant Snowflake certifications eg SnowPro Snow Architect would be a plus