Senior Data Engineer – Analytics – Seattle, WA

<sdf-button _ngcontent-ng-c4503599967738739=”” emphasis=”primary” class=”w-24 layout-inline size-sm variant-contained action-standard emphasis-primary supports-focus-visible hydrated” type=”button” tabindex=”0″ aria-label=” Apply ” role=”button” button-title=”” busy-label=”busy” size=”sm” variant=”contained” action=”standard” toggled-item-added-pending=””> Apply </sdf-button>

$115,000 -135,000 per year

This is a Hybrid role and consists of a combination of WFH In Person work

<cx-job-details-address _nghost-ng-c4503597849335168=””>

</cx-job-details-address>

Carrix is committed to making our employees feel welcome and respected. Our team is unique and our approach successful because we have fostered an environment that values varying backgrounds, perspectives, and experiences and takes pride in how the collective delivers value to our customers and partners.

A truly diverse workforce is the outcome of treating people right. Each team member is responsible for creating, maintaining, and enhancing our work culture through collaboration and empathy – as culture doesn’t happen without conscious effort. At Carrix, we expect all employees to treat one another with respect and kindness, no exceptions or excuses.

Summary/Objective:

As a Senior Data Engineer, you will design, build, and maintain the pipelines and platforms that power our enterprise-wide analytics and decision-making. You’ll partner with business stakeholders, peers, and senior leaders to deliver trusted, secure, and scalable data products while helping shape the future of our data strategy. In this role, you will influence technical direction, mentor peers, and act as a trusted advisor across the data community. You’ll play a key role in evolving our platform toward predictive and real-time analytics, supporting initiatives in streaming data, ML/AI, and advanced insights. By working with modern tools and cloud-native platforms, you’ll continue to grow your technical expertise while positioning yourself for future opportunities such as Lead Engineer, Data Architect, or Platform Manager. This is a chance to make an immediate impact while building the foundation for Carrix’s long-term data success.

• 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.

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.

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.

We are an Equal Opportunity Employer

Eligible employees (and their families) may qualify for medical, dental, and vision insurance, as well as having basic life and accidental death insurance, paid disability insurance, including 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 our company’s 401k plan, as well as a retirement plan. Employees will be eligible for discretionary and/or metric-based bonuses dependent on their position.