Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases.
Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions.
Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange, they have a team of 23,300 people across 32 countries.
You will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake.
You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
EDO is the TV outcomes company. Their leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. They are headquartered in New York City and Los Angeles with an office space in San Francisco and recognize the benefits of hybrid working.
Assist in maintaining and improving our data warehousing systems (AWS DMS, Redshift).
Support the team in monitoring data pipelines, identifying issues, and troubleshooting basic problems.
Write and optimize SQL queries for analytics and data validation.
Sezzle aims to financially empower the next generation by blending tech with interest-free installment plans. They foster an innovative and dynamic team passionate about creating a unique shopping journey.
Design, build, and maintain scalable data pipelines for clients across industries.
Architect and optimize cloud data warehouse solutions, adapting to each client's stack.
Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled.
NuView Analytics helps companies accelerate the time to insights from their data through data analytics, diligence, and fractional data science. They are a growth-stage company looking to drive additional value from the data they are sitting on and value humility, intellectual rigor, and stewardship.
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.
Lead, manage, and mentor a group of data engineers.
Own the design and development of data pipelines and systems.
Partner cross-functionally with Data Science and Product managers.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people.
Primarily responsible for analyzing data integrity challenges and identifying root cause analysis.
Craft client code that is efficient, performant, testable, scalable, and secure.
Actively participate in agile software development, including daily stand-ups and sprint planning.
3Pillar is a company where senior software engineers can collaborate with industry leaders and spearhead transformative projects that redefine urban living, establish new media channels, or drive innovation in healthcare. They are a global team that values well-being and offers flexible work environments.
Become a trusted data and AI advisor to clients, helping them translate business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, ETL/ELT pipelines, and analytic layers.
Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases.
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. They work alongside the most innovative software providers in the data engineering space to solve their clients' toughest business problems and believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
Gusto is on a mission to grow the small business economy. They handle payroll, health insurance, 401(k)s, and HR, so owners can focus on their craft and customers. Gusto supports more than 400,000 small businesses across the country, and they’re building a workplace that represents and celebrates the customers they serve.
Utilize SQL and data transformation tools (like DBT and Coalesce) to develop and deploy abstracted data models following the “Medallion” concept.
Collaborate with other engineering teams as well as business analysts and end-users to develop requirements and design useful data models.
Develop DAGs in Apache Airflow for delivering data products to internal and external partners.
Forbright is a nationwide full-service bank and commercial lender focused on helping to build a brighter future for our clients and the communities we serve. They are a dynamic, high energy, fun, and fast-paced organization that has an exciting growth trajectory.
Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology.
Develop and manage robust data integrations with external vendors and organizations (including complex API integrations).
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions.
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion.
Leverage data tools to deliver superior service to clients.
Conduct data analysis to understand customer needs.
Partner with customers in interpreting data and remediating issues.
They connect job seekers with companies using an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Manage and guide data teams to execute on enterprise data strategy.
Provide technical guidance and mentor team members on data technologies.
Design end-to-end data processing for enterprise data warehousing.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, build, and maintain data pipelines using Snowflake, Airflow, and DBT
Lead architectural discussions around the modern data stack
Develop scalable ETL and ELT processes using Python and SQL
They are a well-funded healthcare technology company using AI and modern data infrastructure to transform how healthcare and public health decisions are made. The team is small, mission-driven, and building systems that turn raw healthcare data into actionable intelligence at scale.
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.
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.
Design, build, and maintain databases that power Hologram's operations.
Build and maintain ETL pipelines that move and transform data reliably.
Audit existing pipelines and data models, identify complexity, and refactor bad decisions.
Hologram is building the future of IoT connectivity, delivering internet access to millions of connected devices worldwide. They process over 5 billion transactions per month across their global infrastructure and values a fun, upbeat, and remote-first team united by their mission.
Design, build, and maintain scalable data infrastructure to support analytics and reporting across the organization.
Develop and operate ETL pipelines to ingest, transform, and deliver large-scale datasets.
Partner closely with Data Analysts and cross-functional stakeholders to provide reliable datasets and guide them in using data effectively.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. With over two decades of experience, they deliver top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies in their projects.
Collaborate with Product and Strategy teams to build customized reporting solutions.
Integrate new data sources and third-party APIs to enhance reporting capabilities.
Streamline processes for rapid prototyping to meet new client reporting needs.
Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens. They have unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs.