Senior Data Engineer

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

• Walk through database design for scale, security, and reliability.
• Explain data models, metadata, views, and efficient access patterns.
• Show cross-team collaboration on logistics-style business requirements.

Fit summary

Strong fit if you enjoy senior data architecture in a Chicago logistics tech setting with active hiring signals and limited public review data.

Day in the role

As Senior Data Engineer at Arrive Logistics, expect to design and document database architectures for freight/logistics systems, model scalable secure data stores, and partner with architects and analysts on industry requirements—interfaces, transfers, partitions, and reliable access paths.

Skills to emphasize

• freeCodeCamp — Full Stack curriculum (free)
• Saylor Academy — Computer Science courses (free)
• CS50 (Harvard, via edX) (free to learn)
• Microsoft Learn — developer training paths (free to learn)

FAQ from this listing

Is this role remote?

No—the listing is Chicago, IL with remote set to off.

What does Arrive Logistics emphasize in hiring?

Built In describes a “Fast and Fair” process; treat that as press, not a guarantee.

Where can I start upskilling for free?

CERTS-linked paths include freeCodeCamp, Saylor, CS50, and Microsoft Learn (free / free to learn).

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Develop and document database architectures.
• Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
• Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
• Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
• Develop data models for applications, metadata tables, views or related database structures.
• Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
• Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
• Create and enforce database development standards.

O*NET source

Role overview (listing rewrite)

Senior Data Engineer at Arrivelogistics in Chicago, IL - Full Time, No Remote What This Role Involves The Senior Data Engineer role at Arrive Logistics is pivotal in building and owning the data ecosystem that drives our analytics, business intelligence, and data science initiatives. You will be a key player in defining and deploying new data infrastructure and tooling, as well as managing pipelines that ingest and transform critical data. What You'll Do Design, develop, and maintain robust data pipelines to support analytics, business intelligence, and data science efforts. Collaborate with cross-functional teams including Data, Engineering, and IT specialists to ensure seamless integration of new tools and technologies. Leverage your technical leadership skills to mentor junior engineers and drive best practices within the team. Ensure data quality, reliability, and security across all systems. Requirements Minimum 5 years of experience as a Data Engineer or similar role. Demonstrated expertise in building scalable data pipelines using tools like Apache Airflow, Flink, Spark, and Kafka. Proficiency with SQL and NoSQL databases, including PostgreSQL, MongoDB, and Cassandra. Experience with big data technologies such as Hadoop, Hive, and Presto. Familiarity with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Why Join Arrivelogistics At Arrive Logistics, you’ll be part of a dynamic team committed to innovation and excellence. Our culture is built on collaboration, fun, and continuous learning. We offer competitive compensation, comprehensive benefits, and opportunities for professional growth in a supportive environment. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Chicago, IL, hybrid, or fully remote?