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Data Sql Jobs in Colorado (NOW HIRING)

$107K - $129K/yr

Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server ... data solutions.

Showing results 41-60

Data Sql information

Is SQL in demand in 2026?

Data SQL roles are expected to remain in high demand through 2026 due to the continued growth of data-driven decision making and the widespread use of relational databases. Proficiency in SQL, along with knowledge of database management and data analysis tools, will be valuable for data analysts, database administrators, and data engineers in the job market.

What kind of jobs can I get with Data SQL?

Data SQL skills are essential for roles such as Data Analyst, Data Engineer, Database Administrator, and Business Intelligence Developer. These jobs involve managing, querying, and analyzing data using SQL databases and often require knowledge of SQL tools, data modeling, and sometimes certifications like Microsoft SQL Server or Oracle SQL.

What is the difference between Data Sql vs Data Analyst?

AspectData SqlData Analyst
Required CredentialsSQL certifications, database knowledgeStatistics, data visualization, SQL skills
Work EnvironmentDatabase management, backend systemsBusiness insights, reporting, dashboards
Industry UsageIT, tech, finance, healthcareMarketing, finance, consulting, tech

Data Sql professionals focus on managing and querying databases using SQL, often working behind the scenes to ensure data integrity. Data Analysts interpret data to generate reports and insights, frequently using SQL as a tool. While both roles require SQL skills, Data Sql roles are more technical and database-centric, whereas Data Analysts focus on analyzing data to support business decisions.

Do data sql jobs pay well?

Data SQL jobs, such as SQL developers or database administrators, typically offer competitive salaries due to the demand for data management skills. Compensation varies based on experience, location, and certifications, with many roles offering above-average pay in the tech industry.

What cities in Colorado are hiring for Data Sql jobs?

Cities in Colorado with the most Data Sql job openings:

Infographic showing various Data Sql job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Lakewood, CO

$114K - $137K/yr

Full-time

Posted 15 days ago


Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
  • Develop ETL/ELT solutions using AWS services.
  • Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon Athena, Amazon Redshift and Amazon RDS.
  • Design and implement scalable data architectures while ensuring data quality, security, and integrity.
  • Develop data processing workflows to support large-scale data ingestion and transformation.
  • Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.
  • Work with DevOps tools and practices including Jenkins and Maven for deployment automation.
Required Experience & Skills
  • 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
  • Strong hands-on experience with AWS cloud services and Big Data technologies.
  • Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
  • Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
  • Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
  • Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
  • Experience working with Hadoop and other Big Data technologies.
  • Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
  • Experience with Unix/Linux environments and scripting.
  • Familiarity with DevOps tools such as Jenkins and Maven.
  • Experience with monitoring and logging tools such as Splunk is preferred.
  • Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.