CompoSecure
Join to apply for the
Data Engineer
role at
CompoSecure .
Get AI‑powered advice on this job and more exclusive features.
Reports to: Director of Application Services. FLSA Status: Non‑Exempt.
Founded in 2000,
CompoSecure
(Nasdaq: CMPO) is a technology partner to market leaders, fintechs and consumers, enabling trust for millions of people worldwide. The company combines elegance, simplicity, and security to deliver exceptional experiences and peace of mind in the physical and digital world. Its innovative payment card technology and metal cards with Arculus security and authentication capabilities provide unique, premium branded experiences, enabling people to access and use their financial and digital assets securely. For more information, visit
www.CompoSecure.com
and
www.GetArculus.com .
Position Overview The Data Engineer is responsible for designing, building, and maintaining robust data pipelines and solutions to support business analytics and reporting. This role focuses on leveraging Microsoft Azure, Microsoft Fabric, PySpark, SQL, APIs, and ETL processes to ensure efficient, secure, and high‑quality data delivery for enterprise analytics platforms such as Power BI. The Data Engineer will work fully on site, collaborating closely with cross‑functional teams to drive data efficiency and innovation.
Data Engineering & Pipeline Development
Design, develop, and maintain data pipelines using Azure Data Factory, Azure Synapse, and Microsoft Fabric Dataflows.
Implement and maintain Medallion architecture in Fabric and Azure environments.
Build ingestion and transformation flows that efficiently convert raw Parquet files into Delta tables to support curated, incremental, and governed datasets optimized for Power BI.
Implement efficient data lakehouse patterns within Microsoft Fabric.
Data Modeling & Optimization
Design and maintain star schemas, dimensional models, and semantic layers for Power BI.
Collaborate with Power BI developers to ensure models are performant and aligned to needs.
Tune queries, optimize partitioning, and manage performance across Fabric and Synapse environments.
Cloud Data Architecture & Governance
Ensure solutions follow Azure best practices for scalability, cost efficiency, and security.
Implement data governance, lineage, and cataloging via Microsoft Purview and Fabric capabilities.
Partner with IT security and compliance teams to enforce data access controls.
Routine IT Functions
Handle all Help Desk tickets related to reporting.
Perform general software and hardware installations as required.
Other Important Responsibilities
Handle related email and telephone correspondence in a timely and professional manner.
Respond to inquiries for the purpose of resolving problems, providing information and/or referring to appropriate personnel.
Will be required to perform other job functions, as assigned.
Qualifications
Minimum 5 years of relevant experience.
Strong expertise in data languages (Python, SQL, DAX, M, R, etc.) and handling large data sets using PySpark.
Strong expertise in Azure Data Factory, Azure Synapse Analytics, Databricks (nice‑to‑have), and Microsoft Fabric.
Hands‑on experience implementing Medallion architecture in a lakehouse environment.
Expertise in transforming Parquet datasets into Delta tables for reliable, incremental processing.
Experience building ETL/ELT pipelines and working with both structured and unstructured data.
Familiarity with CI/CD for data pipelines a plus.
Experience with Power BI integration and data modeling.
Excellent analytical and problem‑solving skills.
Excellent record‑keeping and auditing skills.
Excellent communication skills, both oral and written.
Strong attention to detail and ability to self‑check work.
Excellent time‑management skills.
Task‑oriented – excellent organizational skills, ability to prioritize workload.
Enthusiastic attitude, cooperative team player, adaptable to new or changing circumstances, professional demeanor, sensitive to client needs, self‑motivated, creative and innovative.
Physical Requirements And Work Environment
Must be able to work beyond 40 hour week during upgrades or new functionality rollout if necessary.
Must be able to work flex schedule. Weekends and late hours or staggered shifts.
Must have valid driver's license and personal vehicle.
Must be able to lift 50 lbs.
Must be able to sustain office work for 8+ hours per day including the following:
Sitting in an office chair
Typing
Reaching for the telephone
Standing at office equipment
Hearing for phone use
Sight for computer use
Office environment is of moderate noise level.
Benefits
Medical, Dental & Vision Coverage
Flexible Spending Accounts (FSA)
Company‑Paid Life and Disability Insurance
401(k) with Company Match
Paid Time Off & Paid Holidays
Annual Bonus Opportunities
Employee Assistance Program (EAP)
Career Advancement Opportunities
Please note:
CompoSecure does not accept unsolicited resumes from staffing agencies or third‑party recruiters. Any unsolicited resumes sent to CompoSecure, including to our employees, will become the property of CompoSecure and may be used without any obligation to pay referral or placement fees. Any agency or recruiter seeking to work with CompoSecure's Talent Acquisition Team should contact our team directly by sending an email to recruiting@composecure.com.
CompoSecure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans.
#J-18808-Ljbffr
Data Engineer
role at
CompoSecure .
Get AI‑powered advice on this job and more exclusive features.
Reports to: Director of Application Services. FLSA Status: Non‑Exempt.
Founded in 2000,
CompoSecure
(Nasdaq: CMPO) is a technology partner to market leaders, fintechs and consumers, enabling trust for millions of people worldwide. The company combines elegance, simplicity, and security to deliver exceptional experiences and peace of mind in the physical and digital world. Its innovative payment card technology and metal cards with Arculus security and authentication capabilities provide unique, premium branded experiences, enabling people to access and use their financial and digital assets securely. For more information, visit
www.CompoSecure.com
and
www.GetArculus.com .
Position Overview The Data Engineer is responsible for designing, building, and maintaining robust data pipelines and solutions to support business analytics and reporting. This role focuses on leveraging Microsoft Azure, Microsoft Fabric, PySpark, SQL, APIs, and ETL processes to ensure efficient, secure, and high‑quality data delivery for enterprise analytics platforms such as Power BI. The Data Engineer will work fully on site, collaborating closely with cross‑functional teams to drive data efficiency and innovation.
Data Engineering & Pipeline Development
Design, develop, and maintain data pipelines using Azure Data Factory, Azure Synapse, and Microsoft Fabric Dataflows.
Implement and maintain Medallion architecture in Fabric and Azure environments.
Build ingestion and transformation flows that efficiently convert raw Parquet files into Delta tables to support curated, incremental, and governed datasets optimized for Power BI.
Implement efficient data lakehouse patterns within Microsoft Fabric.
Data Modeling & Optimization
Design and maintain star schemas, dimensional models, and semantic layers for Power BI.
Collaborate with Power BI developers to ensure models are performant and aligned to needs.
Tune queries, optimize partitioning, and manage performance across Fabric and Synapse environments.
Cloud Data Architecture & Governance
Ensure solutions follow Azure best practices for scalability, cost efficiency, and security.
Implement data governance, lineage, and cataloging via Microsoft Purview and Fabric capabilities.
Partner with IT security and compliance teams to enforce data access controls.
Routine IT Functions
Handle all Help Desk tickets related to reporting.
Perform general software and hardware installations as required.
Other Important Responsibilities
Handle related email and telephone correspondence in a timely and professional manner.
Respond to inquiries for the purpose of resolving problems, providing information and/or referring to appropriate personnel.
Will be required to perform other job functions, as assigned.
Qualifications
Minimum 5 years of relevant experience.
Strong expertise in data languages (Python, SQL, DAX, M, R, etc.) and handling large data sets using PySpark.
Strong expertise in Azure Data Factory, Azure Synapse Analytics, Databricks (nice‑to‑have), and Microsoft Fabric.
Hands‑on experience implementing Medallion architecture in a lakehouse environment.
Expertise in transforming Parquet datasets into Delta tables for reliable, incremental processing.
Experience building ETL/ELT pipelines and working with both structured and unstructured data.
Familiarity with CI/CD for data pipelines a plus.
Experience with Power BI integration and data modeling.
Excellent analytical and problem‑solving skills.
Excellent record‑keeping and auditing skills.
Excellent communication skills, both oral and written.
Strong attention to detail and ability to self‑check work.
Excellent time‑management skills.
Task‑oriented – excellent organizational skills, ability to prioritize workload.
Enthusiastic attitude, cooperative team player, adaptable to new or changing circumstances, professional demeanor, sensitive to client needs, self‑motivated, creative and innovative.
Physical Requirements And Work Environment
Must be able to work beyond 40 hour week during upgrades or new functionality rollout if necessary.
Must be able to work flex schedule. Weekends and late hours or staggered shifts.
Must have valid driver's license and personal vehicle.
Must be able to lift 50 lbs.
Must be able to sustain office work for 8+ hours per day including the following:
Sitting in an office chair
Typing
Reaching for the telephone
Standing at office equipment
Hearing for phone use
Sight for computer use
Office environment is of moderate noise level.
Benefits
Medical, Dental & Vision Coverage
Flexible Spending Accounts (FSA)
Company‑Paid Life and Disability Insurance
401(k) with Company Match
Paid Time Off & Paid Holidays
Annual Bonus Opportunities
Employee Assistance Program (EAP)
Career Advancement Opportunities
Please note:
CompoSecure does not accept unsolicited resumes from staffing agencies or third‑party recruiters. Any unsolicited resumes sent to CompoSecure, including to our employees, will become the property of CompoSecure and may be used without any obligation to pay referral or placement fees. Any agency or recruiter seeking to work with CompoSecure's Talent Acquisition Team should contact our team directly by sending an email to recruiting@composecure.com.
CompoSecure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans.
#J-18808-Ljbffr