Play a Sr.tech lead & architect role to build world-class data solutions and applications that power crucial business decisions throughout the organization.
Enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture.
Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations.
At Atlassian, they're motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet and their solutions are designed for all types of work. They ensure that their products and culture continue to incorporate everyone's perspectives and experience, and never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Lead product requirements and advanced analytics requirements gathering efforts.
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
Build a scalable technology platform to support a growing business and deliver high-quality code to production.
Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.
Design, build, and maintain scalable data pipelines.
Develop and implement data models for analytical use cases.
Implement data quality checks and governance practices.
MO helps government leaders shape the future. They engineer scalable, human-centered solutions that help agencies deliver their mission faster and better. They are building a company where technologists, designers, and builders can serve the mission and grow their craft.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the data collection.
Develop and maintain robust data pipelines and workflows for data ingestion and transformation.
Reddit is a community-driven platform built on shared interests and trust, fostering open and authentic conversations. With over 100,000 active communities and approximately 116 million daily active unique visitors, it serves as a major source of information on the internet.
Design, implement, and optimize robust and scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
Enhance our overarching data architecture strategy, assisting in decisions related to data storage, consumption, integration, and management within cloud environments.
Partner with data scientists, BI teams, and other engineering teams to understand and translate complex data requirements into actionable engineering solutions.
The New York Blood Center appears to be a medical organization. They are looking for a Senior Data Engineer to join their team.
Build a scalable, reliable, operable and performant big data workflow platform.
Drive the usage of Freight's data model across the organization with multiple product teams.
Drive efficiency and reliability improvements through design and automation.
Uber Freight is an enterprise technology company powering intelligent logistics with end-to-end logistics applications, managed services, and an expansive carrier network. Today, the company manages nearly $20B of freight, has one of the largest networks of carriers and is backed by best-in-class investors.
Bridge the gap between application engineering and data infrastructure.
Own the optimization of high-volume data pipelines and tune operational databases.
Define how to ingest massive bursts of medical information, model it for transactional locking, and transform it for analytical querying.
Synthesis Health is a mission- and values-driven company with tremendous dedication to its customers. The 100% remote team is dedicated to revolutionizing healthcare through innovation, collaboration, and commitment to its core values and behaviors.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats
Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis
ATPCO is the world's primary source for air fare content. They hold over 200 million fares across 160 countries and the travel industry relies on their technology and data solutions. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.
Design, build, and optimize data pipelines and workflows.
Drive scalable data solutions to support business decisions.
Contribute to architectural decisions and provide technical leadership.
Jobgether is a platform that uses AI to match candidates with jobs. They focus on ensuring fair and objective reviews of applications by using AI to identify top-fitting candidates for hiring companies.
Lead the design and implementation of scalable distributed systems based on Java microservices.
Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS.
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies.
PointClickCare is a leading health tech company that's founder-led and privately held, empowering employees to push boundaries, innovate, and shape the future of healthcare. Recognized by Forbes and honored as one of Canada’s Most Admired Corporate Cultures, they offer flexibility, growth opportunities, and meaningful work.
Design, build, and operate scalable data pipelines using batch and real-time processing technologies.
Build data infrastructure that ingests real-time events and stores them efficiently across databases.
Establish and enforce data contracts with backend engineering teams by implementing schema management.
Fetch provides a platform where millions of people earn rewards for buying brands they love. They have received investments from SoftBank, Univision, and Hamilton Lane and partnerships ranging from challenger brands to Fortune 500 companies. Fetch fosters a people-first culture rooted in trust, accountability, and innovation.
Design, build, and optimize ETL/ELT workflows using Databricks, SQL, and Python/PySpark.
Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets.
Collaborate with cross-functional teams to deliver impactful data solutions.
Jobgether is an AI-powered platform that helps job seekers find suitable opportunities. They connect top-fitting candidates with hiring companies, streamlining the recruitment process through objective and fair assessments.
Build and own Sardine’s internal data infrastructure integrating CRM, marketing, product, finance, and operational systems.
Design, improve, and own ETL/ELT pipelines to ensure clean, reliable, and scalable data flows across the organization.
Partner with data, engineering, revenue/business operations, and executive stakeholders to define and track KPIs.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Sardine has over 300 banks, retailers, and fintechs as clients and a remote-first work culture.
Design, build, and operate scheduled and event-driven data pipelines for simulation outputs, telemetry, logs, dashboards, and scenario metadata
Build and operate data storage systems (structured and semi-structured) optimized for scale, versioning, and replay
Support analytics, reporting, and ML workflows by exposing clean, well-documented datasets and APIs
Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. They transform this work, making the staff faster, smarter, and more efficient. The company is all-remote with employees working alongside customers; it was founded in 2019 and has raised $320m+.
Drive automation through effective metadata management.
Learn and apply modern data preparation and integration techniques.
Jobgether uses an AI-powered matching process to ensure candidate applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Architect, design, implement, and operate end-to-end data engineering solutions.
Develop and manage robust data integrations with external vendors.
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams.
SmartAsset is an online destination for consumer-focused financial information and advice, helping people make smart financial decisions. With over 59 million people reached each month, they operate SmartAsset Advisor Marketing Platform (AMP) to connect consumers with fiduciary financial advisors.
Collaborate with business leaders, engineers, and product managers to understand data needs.
Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
NBCUniversal is one of the world's leading media and entertainment companies that creates world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Design and develop data integration pipelines across cloud and legacy systems.
Lead and support data engineering implementation efforts.
Apply advanced analytics techniques to support business insights and decision-making.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company, with the final decision managed by the internal team.
Drive decision making in building cutting-edge products.
Transform large datasets from complex systems, generate actionable insights, and share the results with stakeholders at all levels of the company.
Partner and lead projects with product management, engineering, client engagement, finance, and other enterprise level teams.
Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.
Architect and maintain scalable, secure, and high-performing data pipelines to support analytics, reporting, and operational needs.
Develop and deploy production-grade data engineering code, ensuring reliability and performance across environments.
Manage end-to-end data workflows, including ingestion, transformation, modeling, and validation for multiple business systems.
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, they have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.