CopperPoint has an exciting opportunity for a Sr. Data Engineer. In this role, you will design, build, and optimize our enterprise data lake and analytics platforms using Databricks on AWS, integrate with our on-premises MS SQL Server Data Warehouse, and enable data consumption through Power BI. You will drive high-performance data pipelines, ensure data quality, and develop data architecture, integration, and modeling strategies that empower the enterprise with advanced analytics and critical business insights.

Job responsibilities:

Design and implement scalable ETL/ELT pipelines using Databricks (PySpark, Delta Lake) on AWS.
Leverage AWS services (S3, Lambda, EventBridge, IAM) for data ingestion and orchestration.
Build and manage Data Ingestion architecture (bronze, silver) in Delta Lake.
Develop connectors and data movement strategies between on-prem MS SQL Server and cloud environments.
Optimize data ingestion from legacy systems to the data lake with security and latency considerations.
Implement data models supporting operational and analytical use cases.
Ensure data quality, lineage, and governance using Unity Catalog or equivalent tools.
Create efficient data views and aggregate tables for reporting performance.
Optimize Spark jobs, SQL queries, and Power BI DAX queries for performance.
Design, develop, and maintain end-to-end ETL processes using SSIS to load data into data warehouses and marts. Implement logging, error handling, incremental loading, package configuration, and automation via SQL Server Agent and deployment strategies.
Guide onshore/offshore development teams, perform code reviews, manage resource planning, and collaborate with business analysts, DBAs, and cross-functional stakeholders.
Optimize T-SQL queries, SSIS packages, and SSAS processing. Tune SSRS report execution. Implement automated testing (unit tests, test cases) for ETL workflows.
Regularly conduct peer code reviews to ensure code quality provide expert documentation and provide operating guidance for users of all levels; be a champion for high quality software using TDD and other quality control approaches.

Qualifications/Competencies:

Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field is required.
6+ years of data engineering experience with focus on cloud and hybrid data platforms.
Expertise in Databricks, Delta Lake, with PySpark, Python and Java.
Strong experience with AWS cloud services, especially S3, Glue, IAM, Lambda, Step Functions.
Proficient in MS SQL Server – performance tuning, stored procedures, and SSIS/ETL migration.
Solid knowledge of data modeling, partitioning, and optimization strategies.
Experience building CI/CD pipelines for data using tools like Bit Bucket, DevOps, or Jenkins.

Technical Expertise in Microsoft Tools – MSSQL, SSIS, SSIS, SSAS, Batch Script, SSRS.
Experience with Unity Catalog, Databricks SQL, and role-based access control (RBAC).
Understanding of enterprise data warehouse architecture, slowly changing dimensions, and CDC.
Exposure to DevOps or DataOps practices and infrastructure-as-code using Terraform or CloudFormation.
Relevant certifications such as:
- Databricks Certified Data Engineer
- AWS Certified Data Analytics
- Azure Data Engineer Associate
- Power BI Data Analyst Associate

Benefits:

Employees and their families are eligible to participate in CopperPoint Insurance Companies benefit plans including medical, dental, vision, short-term disability, long-term disability, life insurance, a health savings account, a flexible spending account, and a 401k plan.
We provide some benefits at no cost to the employee (Basic Life Insurance and AD&D at two times an employee’s annual salary, Short- and Long-term Disability coverage, and Employee Assistance Plan).
Employees will accrue 0.0846 hours of Paid Time Off (PTO) per paid hour, which may total 22 days a year. In addition, employees will also receive 10 paid holidays throughout the calendar year.

Founded in 1925, CopperPoint Insurance Companies is a leading provider of workers’ compensation and commercial insurance solutions. With an expanded Line of insurance products and a growing ten-state footprint in the western United States, CopperPoint embodies stability for policyholders in Alaska, Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah, and Washington. CopperPoint Mutual Insurance Holding Company is the corporate parent of Arizona-based CopperPoint Insurance Companies, California-based Pacific Compensation Insurance Company, Alaska National Insurance Company, and other CopperPoint Insurance Entities.

CopperPoint’s culture of compassion extends to the community through employee volunteerism, corporate matching, Board service, program sponsorships and in-kind contributions. We empower employees by providing 12-hours of paid volunteer time annually and matching their personal contribution to the charities of their choice up to $500 per year. In 2020, CopperPoint employees reported 3,500 volunteer hours.

CopperPoint offers a competitive compensation package and comprehensive benefits package including major medical, dental, vision and a wide range of competitive benefits programs, generous matching contributions to your 401(k) plan, generous paid time off, tuition reimbursement and other education benefits and business casual dress. CopperPoint is an equal employment opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, age, national origin, disability, veteran status, sexual orientation, gender identity or expression, marital status, ancestry or citizenship status, genetic information, pregnancy status or any other characteristic protected by state, federal or local law. CopperPoint maintains a drug-free workplace.

#LI-Hybrid

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

CopperPoint Insurance Company

Latest Jobs

Sr. Data Engineer