Source Job

• Design and develop data ingestion pipelines, preferably with Databricks experience.
• Performance tune and optimize Databricks jobs, evaluating new features and refactoring code.
• Collaborate with analysts, managers, architects, and senior developers to establish application framework.

Databricks is a data and AI company. They are likely a medium to large size company, focusing on innovation and teamwork.

• Serve as the embedded technical lead for Databricks customer engagements.
• Own Databricks platform architecture, design decisions, and technical standards.
• Lead delivery of complex data pipelines and analytics workloads on Databricks.

540 is a forward-thinking company that the government turns to in order to #getshitdone. They break down barriers, build impactful technology, and solve mission-critical problems.

• Design, develop, and maintain data pipelines using Azure Databricks
• Build and optimize data transformations using PySpark and SQL in Databricks
• Implement and maintain Lakehouse architectures using Delta Lake

Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation, supporting digital transformation for some of the world's largest enterprises. They retain nearly 1000 full-time professionals, and their annual growth rate exceeds 25%.

• Design and implement scalable data architectures to support business needs.
• Build and optimize data pipelines, ensuring data accessibility and security.
• Develop and maintain data models, databases, and data lakes, with robust data governance.

Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.

• Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
• Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
• Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices

AOT Technologies helps enterprises and governments bring their ideas to life. As a boutique consulting firm, they partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Their teams are collaborative and their leadership is transparent.

• Contribute to architecture and implement robust data pipelines.
• Drive the creation of a secure, compliant, and privacy-focused data warehousing solution.
• Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting.

Headspace provides access to lifelong mental health support. They combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective and personalized. The company values making the mission matter, iterating to great, owning the outcome, and connecting with courage.

• Design, develop, and evolve platform functionalities focused on interest calculation and financial processing.
• Contribute to feature evolution and system maintenance within a hybrid architecture.
• Support the team by identifying and removing technical impediments, promoting continuous improvement and operational excellence.

Pismo, founded in 2016, provides a comprehensive processing platform for banking, card issuing, and financial market infrastructure, helping customers innovate and build the next generation of banking and payment solutions. Acquired by Visa in 2024, Pismo has 500+ employees located in more than 10 countries.

• Architect, implement, and maintain scalable data architectures.
• Develop, optimize, and maintain ETL processes.
• Optimize data processing and query performance.

Blueprint Technologies is a technology solutions firm that helps organizations unlock value from existing assets by leveraging cutting-edge technology. Their teams have unique perspectives and years of experience across multiple industries. They believe in unique perspectives and build teams of people with diverse skillsets and backgrounds.

• Create innovative solutions for handling peta-bytes of data with billions of rows & joins.
• Create real time and offline features generation pipelines to managing our data infrastructure to be reliable and fast!
• Develop and productionize data pipelines for our ML models in both bare-metal and the cloud environment.

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. They enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through their self-serve and managed service options.

• Build and lead a team of 4-5 data engineers focused on reusable product artifacts
• Own the product data engineering backlog in partnership with product management
• Define and enforce technical standards for notebooks, pipelines, QC modules, and documentation

Qualified Health is redefining what’s possible with Generative AI in healthcare. They provide the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change. They are a fast-growing company backed by premier investors.

• Lead the implementation of a resilient, privacy-first data platform architecture.
• Lead the design, infrastructure, and tooling decisions for platform optimization.
• Develop AI-ready architecture by creating semantic layers that define and standardize business logic.

Headspace provides access to lifelong mental health support. They combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective and personalized. They value connecting with courage, ownership, and iterating to great.

• Strong Cloud Engineering expertise, primarily Azure.
• Proficiency with Databricks platform administration.
• Experience working in Agile/Scrum or SAFe environments.

I don't have enough information to provide a company description.

• Design and build mission critical data pipelines with a highly scalable distributed architecture.
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders.
• Build and support reusable framework to ingest, integration and provision data

StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. They employ 1,000 people across offices and verification centers around the world and their platform connects buyers and sellers using dynamic pricing mechanics.

• Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
• Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
• End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.

Trustonic makes smartphones affordable, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. The company celebrates its diversity and is looking to do the right thing: for each other, the community and the planet.

• Assist in delivering on internal data and business intelligence initiatives.
• Design, implement, and maintain ETL processes to facilitate warehousing and systems integration needs.
• Develop and enhance data models to deliver value to the organization.

CRB delivers life-changing solutions for manufacturers in the life sciences and food and beverage industries. They have over 1,100 expert professionals, and their mission, vision, and core values center around client satisfaction and employee experience.

• Build and maintain robust data pipelines processing large volumes of data
• Update and optimise our data platform for speed, scalability and cost
• Develop processes and tools to monitor and analyse model performance and data accuracy

Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. They processed $182 billion in 2023 and are Nigeria’s largest merchant acquirer, cultivating a culture of innovation, teamwork, and growth.

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion.
• Implement data quality checks, monitoring, and validation processes.
• Automate manual processes into centralized and scalable solutions.

Informa TechTarget accelerates growth from R&D to ROI, informing and connecting technology buyers and sellers. They are a vibrant community of over 2000 colleagues worldwide and traded on Nasdaq as part of Informa PLC.

• Building and maintaining Power BI dashboards and reports connected to multiple data sources
• Writing and optimizing queries in SQL (DML) within Databricks or Microsoft Synapse environments
• Developing and maintaining Python scripts and pipelines within Databricks or Synapse

Oddball believes the best products are built when companies understand and value their work. They value learning, growth and the ability to make a big impact at a small company, improving lives by bringing quality software to the federal space.

• Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
• Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
• Ensure data accuracy and performance using observability tools and resolve data issues.

Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.

• Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team.
• Coach & mentor other engineers to support the growth of their technical expertise.
• Implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.

YLD is a software engineering and design consultancy that creates digital capabilities for their clients. The company has offices in London, Lisbon, and Porto and aims to attract, inspire, develop, and retain extraordinary people.