Data Engineer II

CaptionCall by Sorenson•Salt Lake City, UT

6h•$99,700 - $166,100

About The Position

The Data Engineer II supports the development and maintenance of the enterprise data platform. The role builds and supports data pipelines, integrates information from multiple sources, and ensures data is available, accurate, and secure for analytics and operational needs. The engineer works with software developers, database administrators, data analysts, and business stakeholders to deliver scalable, reliable data solutions in a collaborative environment using modern cloud data technologies. The position has no supervisory responsibilities and requires travel of less than 25%.

Requirements

Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field, or equivalent industry experience.
Three years of experience as a Data Engineer, Data Analyst, ETL Developer, Database Developer, or in a similar role.
Experience with cloud-based data platforms such as Snowflake, Azure Synapse, Databricks, or equivalent technologies.
Experience developing and supporting data pipelines using tools such as Azure Data Factory, Fivetran, Matillion, dbt, Airflow, or similar platforms.
Strong SQL skills and experience writing efficient queries.
Experience with at least one programming language such as Python, SQL, C#, Java, or PowerShell.
Understanding of ETL/ELT processes and data integration methodologies.
Experience with cloud data warehouses and modern data platforms.
Comfort with dimensional modeling and analytical data structures.
Understanding of relational databases and data warehouse concepts.
Experience supporting business intelligence and reporting tools such as Power BI, Tableau, Looker, or Excel.
Comfort with data orchestration and workflow management tools such as Airflow.
Understanding of data governance, data quality, security, and compliance concepts.
Experience troubleshooting data issues and performing root cause analysis.
Ability to work collaboratively with cross-functional teams.
Strong analytical, problem-solving, and organizational skills.
Strong written and verbal communication skills, including ASL communications where applicable.
Professionalism, integrity, and accountability.
Good interpersonal and communication skills and ability to work effectively across departments.
Ability to maintain confidentiality of sensitive employee, customer, and company information.
Must be legally eligible to work in the United States; visa sponsorship is not available.

Nice To Haves

Familiarity with Microsoft Azure technologies and Dynamics 365.
Experience with Databricks, Delta Lake, Apache Iceberg, or modern lakehouse architectures.

Responsibilities

Develop, maintain, and support data pipelines that transform source-system data into usable datasets for reporting, analytics, and business operations.
Build and enhance data infrastructure using modern cloud-based technologies and industry best practices.
Integrate data from multiple business systems into centralized data platforms and data warehouses.
Monitor data pipelines and troubleshoot issues to ensure data quality, reliability, and performance.
Support automation that improves data collection, transformation, validation, and delivery processes.
Work with business stakeholders, IT teams, and analysts to understand data requirements and implement solutions.
Participate in data quality initiatives, including validation checks, monitoring, and issue resolution.
Ensure compliance with data security, privacy, retention, and governance standards.
Support Data Science and Analytics teams by providing clean, reliable, and accessible datasets.
Create and maintain technical documentation for data processes, data models, and system integrations.
Contribute to continuous improvement of the enterprise data platform.
Perform other duties as assigned by management.

Benefits

Paid vacation time, paid sick time, and paid holidays.
401(k) with 6% company match and immediate vesting.
Nationwide medical insurance plans and coverage, including medical, dental/orthodontia, and vision.
Virtual care options.
HSA company match.
Two medical plan options, including a low-deductible PPO medical plan offering.
Employee Assistance Program.
Engaged Employee Resource Groups.
Learning and career development opportunities.
Position may be eligible for incentive compensation.