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Data Engineering Positions Available at 63 Firms

Data engineering job seekers are expected to demonstrate robust technical abilities, along with a background in constructing analytics systems, when applying for positions in various companies.

Sixty-three businesses actively recruiting Data Engineers
Sixty-three businesses actively recruiting Data Engineers

Data Engineering Positions Available at 63 Firms

In the rapidly evolving digital landscape, data engineering has become a critical component for businesses aiming to stay ahead of the curve. Several companies, spanning various industries, are actively seeking data engineers to help them harness the power of data and drive growth.

FanDuel, CNA, Hinge, Perchwell, Adyen, Arcadia, The Aerospace Corporation, Artifact Uprising, Machina Labs, Lusha, GitLab, Mastercard, InterSystems, Place Exchange, Kraft Heinz, Rubrik, Mixbook, Navan, Asana, Dropbox, Steampunk, Lockheed Martin, GoodRx, Webflow, Gradient AI, Comcast Advertising, MoneyLion, Capco, Cargill, Core Digital Media, EDGE, Chime, Inato, Kustomer, Cencora, Yieldmo, Affirm, CGI, dbt Labs, and many more are currently hiring data engineers.

Hinge, for example, a popular dating app, is looking for data engineers with expertise in Python, SQL, Kubernetes, Docker, and Terraform to help improve their match-making algorithm and deliver a better user experience. On the other hand, Kraft Heinz, a multinational food and beverage company, is investing in data engineering to enhance its manufacturing, processing, and marketing tech, as well as consumer data analysis for its digital assets.

Dropbox, a leading file hosting service, is seeking a Data Engineer with 5+ years of experience in Spark, Scala, SQL, and schema design for large-scale data processing and analytics. Steampunk, a data science company, is looking for a Senior Data Engineer with 5-7 years of direct experience in big data tools such as Hadoop, Spark, Kafka, along with relational SQL and NoSQL databases.

Lockheed Martin, a defence contractor, is hiring senior-level data engineers within their Data & AI Enablement organization. While the specific technical requirements are not detailed, it is likely that the role involves working with advanced data engineering tools and AI/ML technologies.

Numerous startups and tech companies also offer data engineering roles that require experience with big data platforms, SQL, and data streaming tools like Kafka, often with remote work options.

Key tech hubs hiring for these roles include San Francisco, Boston, Toronto, and Vancouver. Salaries vary but are competitive, with senior data engineers earning upwards of $120,000 annually in many cases.

If you have expertise in SQL, Scala, big data ecosystems (e.g., Hadoop, Spark, Kafka), and machine learning model deployment, targeting companies like Dropbox, Steampunk, and defence contractors like Lockheed Martin, as well as tech startups, would be a strategic approach for finding data engineer positions.

In addition to these companies, others such as GoodRx, Webflow, Gradient AI, Comcast Advertising, MoneyLion, Capco, Inato, Kustomer, Cencora, Yieldmo, Affirm, Lusha, Caterpillar, Chewy, ServiceNow, Atlassian, Squarespace, CGI, dbt Labs, Artifact Uprising, GRAIL, Contentful, Samsara, Movable Ink, Clear Street, Flourish, SharkNinja, Kustomer, Inato, UL Solutions, NBCUniversal, McDonald's, Kraft Heinz Company, Spectrum, Crunchyroll, SRAM, LLC, Formation Bio, Smartly, PatientPoint, ServiceNow, Notion, Gusto, TransUnion, DraftKings, PagerDuty, Grainger, and many more are also actively hiring data engineers.

This surge in data engineering jobs presents a promising opportunity for professionals with the right skills and experience to make a significant impact in a variety of industries.

Data-and-cloud-computing technology plays a crucial role in the sports industry, as evidenced by FanDuel, a popular sports entertainment platform, seeking data engineers with expertise in various technologies to improve their user experience and drive growth. Meanwhile, Kraft Heinz, a multinational food and beverage company, is utilizing data engineering to enhance manufacturing, processing, and marketing technology, as well as consumer data analysis for its digital assets.

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