Carrix, Inc./SSA Marine, Inc.
Senior Data Engineer - Analytics - Seattle, WA
Carrix, Inc./SSA Marine, Inc., Seattle, Washington, us, 98127
Overview
Senior Data Engineer - Analytics Location: Seattle, Washington, United States Compensation Range: $115,000 - 135,000 per year Onsite Status: Hybrid role (combination of WFH and in-person work) Location address: 1131 SW Klickitat Way, Seattle, Washington 98134, United States Responsibilities
Design, build, and maintain complex ETL/ELT pipelines and data integration processes. Architect and manage enterprise data models and data products using structured data layering approaches (e.g., Medallion architecture). Collaborate with analysts, business teams, and leadership to translate requirements into scalable, secure solutions. Implement and maintain data governance, metadata management, and lineage tracking. Optimize data infrastructure for performance, scalability, and cost efficiency. Ensure compliance with privacy, security, and regulatory standards (GDPR, CCPA, HIPAA, as applicable). Partner with DevOps teams to implement CI/CD pipelines, version control (Git), and orchestration tools (e.g., Airflow, Prefect). Support streaming data, ML/AI initiatives, and advanced analytics use cases. Troubleshoot, optimize, and resolve complex production and development issues. Promote best practices in data engineering across the enterprise. Other duties as assigned. Qualifications
Key Knowledge, Skills & Abilities: Strong understanding of the data engineering lifecycle, modern warehousing practices, and governance frameworks. Proficiency in Snowflake, dbt, Python/R, SQL, and business intelligence tools (e.g., Power BI). Experience with cloud-native platforms (AWS, Azure, or GCP). Familiarity with integration tools (e.g., Informatica, Boomi) and orchestration frameworks (Airflow, Prefect). Experience with streaming technologies (Spark, Flink, Kafka) and big data concepts. Knowledge of modern containerization and deployment practices (Docker, Kubernetes). Excellent communication skills with the ability to engage both technical and business stakeholders. Proven ability to independently grow technical skills and adopt new tools. Strong problem-solving and solution-oriented mindset. Qualifications: Bachelor's degree in Computer Science, Information Systems, Applied Mathematics, or equivalent experience. 5+ years of experience (preferred) in data engineering, data integration, or related roles. Hands-on experience in data modeling, optimization, and pipeline development. Experience working with large, diverse datasets in an enterprise environment. Agile team experience preferred. Experience in the cargo transportation or logistics industry is a plus but not required. Work environment
Required job duties are normally performed in a climate-controlled office environment, or remotely from home. Exposure to computer screens. The noise level in the work environment is usually moderate. Notice
The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Equal Opportunity
We are an Equal Opportunity Employer Benefits
Eligible employees (and their families) may qualify for medical, dental, and vision insurance, as well as basic life and accidental death insurance, paid disability insurance, paid parental leave if eligible, and an Employee Assistance Program. Employees will receive paid sick and vacation time, and company holidays if eligible. The company also offers paid bereavement leave and paid jury duty. Eligible employees can enroll in the company 401k plan, as well as a retirement plan. Employees will be eligible for discretionary and/or metric-based bonuses dependent on their position.
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Senior Data Engineer - Analytics Location: Seattle, Washington, United States Compensation Range: $115,000 - 135,000 per year Onsite Status: Hybrid role (combination of WFH and in-person work) Location address: 1131 SW Klickitat Way, Seattle, Washington 98134, United States Responsibilities
Design, build, and maintain complex ETL/ELT pipelines and data integration processes. Architect and manage enterprise data models and data products using structured data layering approaches (e.g., Medallion architecture). Collaborate with analysts, business teams, and leadership to translate requirements into scalable, secure solutions. Implement and maintain data governance, metadata management, and lineage tracking. Optimize data infrastructure for performance, scalability, and cost efficiency. Ensure compliance with privacy, security, and regulatory standards (GDPR, CCPA, HIPAA, as applicable). Partner with DevOps teams to implement CI/CD pipelines, version control (Git), and orchestration tools (e.g., Airflow, Prefect). Support streaming data, ML/AI initiatives, and advanced analytics use cases. Troubleshoot, optimize, and resolve complex production and development issues. Promote best practices in data engineering across the enterprise. Other duties as assigned. Qualifications
Key Knowledge, Skills & Abilities: Strong understanding of the data engineering lifecycle, modern warehousing practices, and governance frameworks. Proficiency in Snowflake, dbt, Python/R, SQL, and business intelligence tools (e.g., Power BI). Experience with cloud-native platforms (AWS, Azure, or GCP). Familiarity with integration tools (e.g., Informatica, Boomi) and orchestration frameworks (Airflow, Prefect). Experience with streaming technologies (Spark, Flink, Kafka) and big data concepts. Knowledge of modern containerization and deployment practices (Docker, Kubernetes). Excellent communication skills with the ability to engage both technical and business stakeholders. Proven ability to independently grow technical skills and adopt new tools. Strong problem-solving and solution-oriented mindset. Qualifications: Bachelor's degree in Computer Science, Information Systems, Applied Mathematics, or equivalent experience. 5+ years of experience (preferred) in data engineering, data integration, or related roles. Hands-on experience in data modeling, optimization, and pipeline development. Experience working with large, diverse datasets in an enterprise environment. Agile team experience preferred. Experience in the cargo transportation or logistics industry is a plus but not required. Work environment
Required job duties are normally performed in a climate-controlled office environment, or remotely from home. Exposure to computer screens. The noise level in the work environment is usually moderate. Notice
The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Equal Opportunity
We are an Equal Opportunity Employer Benefits
Eligible employees (and their families) may qualify for medical, dental, and vision insurance, as well as basic life and accidental death insurance, paid disability insurance, paid parental leave if eligible, and an Employee Assistance Program. Employees will receive paid sick and vacation time, and company holidays if eligible. The company also offers paid bereavement leave and paid jury duty. Eligible employees can enroll in the company 401k plan, as well as a retirement plan. Employees will be eligible for discretionary and/or metric-based bonuses dependent on their position.
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