Data Engineer / Data Systems Engineer

CIYIS; Denver (CO); On-site; USD 78,000 - 140,000; Full time

Job summary

CIYIS is looking for skilled Data Engineers and Systems Engineers to join their Denver team. Successful candidates will support the development of data processing software and infrastructure while ensuring high data quality and governance standards. This full-time position offers the chance to work on significant data projects in a collaborative environment, supporting various cloud technologies and data processing frameworks.

Qualifications

• 3-7 years of hands-on experience in data engineering or related roles.
• Excellent problem-solving and debugging skills.
• Strong understanding of data modeling and warehousing.

Responsibilities

• Develop data models and implement data governance processes.
• Create and monitor data migration plans.
• Collaborate with cross-functional teams.

Skills

SQL

Python

Data Governance

Spatial Data Management

Data Quality Analysis

Cloud Technologies

Data Pipeline Development

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

PostgreSQL

MySQL

SQL Server

Apache Kafka

Apache Airflow

Talend

MongoDB

Job description

Join to apply for the Data Engineer / Data Systems Engineer role at CIYIS

Join to apply for the Data Engineer / Data Systems Engineer role at CIYIS

Senior and Journey-Level Data Engineer/Data Systems Engineer

CIYIS is seeking both a Senior and a Journey-level Data Engineer/Data Systems Engineer to join our team in support of tour client. These full-time roles will contribute to the development and maintenance of data processing software, data infrastructure, and data governance initiatives. The ideal candidates will bring a strong background in data engineering, database development, and spatial data management.

Key Responsibilities

• Develop data models, database schemas, data pipelines, and perform data migration activities.
• Maintain expertise in SQL and Python programming for databases including Microsoft SQL Server and PostgreSQL.
• Understand and manage enterprise-level spatial data within RDBMS and geodatabases.
• Create and monitor data migration plans, documenting key activities and risks.
• Build infrastructure for optimal data extraction, transformation, and loading using Cloud and SQL technologies.
• Perform data quality analysis and implement business and quality rules.
• Design and implement quality management processes for data migration validation.
• Identify and implement internal process improvements for scalability and automation.
• Assist stakeholders with data-related technical issues and infrastructure needs.
• Propose system modifications and create reports and presentations based on findings.
• Structure data sets for efficient retrieval and perform data requests as needed.
• Define and maintain domain definition requirements for data attributes.
• Collaborate with analysts, DBAs, GIS specialists, and others to support data governance.
• Develop and document metadata records for data systems and standards.
  
  

Key Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Experience: 3–7 years of hands-on experience in data engineering, data systems development, or related roles.
• Technical Skills: Proficiency in SQL, Python, and ETL frameworks (e.g., Apache Airflow, dbt, Talend); Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra); Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., Redshift, BigQuery, Azure Synapse); Strong understanding of data modeling, data warehousing, and data lake architectures; Experience building and maintaining data pipelines for batch and real-time processing using tools like Apache Kafka, Spark, or Flink.
• Data Management: Knowledge of data governance, data quality, and metadata management best practices; Ability to design and implement data validation, monitoring, and alerting mechanisms.
• Security & Compliance: Understanding of data security, encryption, and compliance standards (e.g., HIPAA, GDPR, FedRAMP).
• Soft Skills: Excellent problem-solving and debugging skills; Strong communication skills for collaborating with cross-functional teams and documenting technical processes; Ability to work independently and manage multiple priorities in a fast-paced environment.
• Certifications (Preferred): Google Cloud Professional Data Engineer, AWS Certified Data Analytics, or Microsoft Azure Data Engineer Associate.
  
  

CIYIS is an Equal Opportunity Employer and all Qualified Applicants will receive consideration for employment without regard to Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status or any other Characteristic Protected by Law.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Business Consulting and Services

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