Own production data pipelines end-to-end, ensuring reliability, performance, and scalability. - Build and optimize data solutions using PySpark and Foundry tools to process massive datasets. - Champion data quality by designing monitoring and validation frameworks to guarantee trusted data.
Design and deliver end-to-end data platforms for analytics, BI, machine learning and AI-ready data products
Build and optimise scalable ETL/ELT pipelines with Databricks, Spark/PySpark, SQL and Python
Apply data quality, governance and security standards across the platform and mentor engineers
Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. They focus on diversity, equity, and inclusion, fostering an inspiring workplace with a global team.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing.
Implement Delta Lake principles focusing on CDC and schema evolution, and integrate data quality frameworks within CI/CD pipelines.
Develop and optimize complex SQL and Python scripts, handling diverse data sources and supporting data governance solutions.
Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow.
Own Databricks production support for the Sugar Predict data platform, including monitoring and incident response.
Migrate legacy ETL pipelines to Databricks, building automation tooling to reduce manual intervention.
Design and build high-performance Databricks pipelines that ingest and serve ERP and CRM data at scale across Azure and AWS.
SugarAI is redefining CRM for the age of AI by turning fragmented customer and revenue signals into clear, prioritized action. With a global team committed to impact, ownership, and continuous growth, we create an environment where thoughtful ideas move quickly and people are trusted to lead.
Design and implement end-to-end data solutions using Azure Databricks, PySpark, and Azure Data Factory.
Drive automation in data integration and build API-based integrations and real-time ingestion frameworks.
Lead technical design reviews, mentor junior engineers, and partner with business stakeholders.
Alimentiv is a life sciences and healthcare technology company that provides data solutions and analytics. The corporate operations team in Bangalore focuses on technology and innovation, employing a team of engineers and data professionals.
Partner directly with enterprise customers to design, build, and scale data solutions that power business-critical applications.
Architect modern cloud-native data platforms using Databricks, ClickHouse, Python, and distributed processing frameworks.
Drive best practices in data governance, security, observability, and operational excellence across engineering teams.
Resilinc pioneers intelligent, autonomous systems for supply chain risk management, using agentic AI to help global enterprises predict disruptions and act in real time. The company is a fully remote, mission-led team with a collaborative culture, trusted by top companies in various industries.
Design and optimize large-scale ETL pipelines using Python, PySpark, SQL, DBT, and cloud-based data platforms.
Define technical vision and architecture for data integration solutions, ensuring scalability and reliability.
Lead technical initiatives, mentor engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.
Jobgether uses AI-powered matching to connect candidates with job opportunities at partner companies. They focus on efficient, objective recruitment processes for a fast-growing remote-first environment.
Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
Scale data processing and insights generation pipelines to handle growing volumes of activity data while managing infrastructure costs.
Backstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. Headquartered in San Francisco, CA, Backstory is backed by Y Combinator and top investors, and is listed in the top 20 percent of Inc 5000 companies.
Drive migration of legacy Hadoop/Spark/Impala data pipelines to a modern Databricks-centric stack.
Design and build scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines.
Implement robust validation strategies to ensure data parity and quality between legacy and modern systems.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. Named the #1 Most Innovative AI Company by Fast Company, we power nearly a billion conversational interactions every month for top global brands.
Architect Spark-driven workflows at scale and design data platforms as products for internal teams.
Develop and maintain end-to-end data pipelines and backend ingestion workflows across multiple sources.
Champion Samsara's cultural principles and mentor junior team members to drive data-driven decisions.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a recently public company, it fosters a culture of rapid career development, ownership, and high performance.
Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Design, build, and stabilize Databricks-based data pipelines from ingestion to reporting.
Optimize existing pipelines for performance, scalability, cost efficiency, and reliability.
Collaborate with cross-functional teams to enhance data platform stability and business value.
The company is a partner organization leading a high-impact data transformation initiative. It operates in a fast-paced, technically challenging environment with a collaborative, impact-driven culture.
Lead technical direction of the data team, designing scalable data architectures for batch and streaming processing.
Translate business requirements into efficient data solutions and collaborate with CRM and Martech teams.
Mentor engineers and define data governance, quality, security, and observability standards.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company uses automated processes to review applications and share top-fitting candidates directly with employers.
Design and build scalable data pipelines for high-impact data products across multiple business domains.
Drive cloud data migration initiatives and modernize existing platforms using Azure-based solutions.
Collaborate with Data Analysts, ML Engineers, and business stakeholders to deliver robust end-to-end data solutions.
Redcare Pharmacy is Europe's No.1 e-pharmacy, driven by innovation and passionate teams to achieve the vision of global health. They foster a collaborative culture where every employee feels valued and inspired.
Lead the modernization of the data platform by migrating legacy Hadoop, Spark, and Impala pipelines to a scalable Databricks architecture.
Accelerate migration efforts using AI coding assistants like Claude and Codex to convert SQL and modernize ETL workflows.
Design and optimize scalable data pipelines with Airflow and Databricks, ensuring reliability, cost-efficiency, and data quality.
LivePerson is a leader in enterprise conversational AI and digital transformation, powering nearly a billion conversational interactions monthly. Fast Company named them the #1 Most Innovative AI Company, and they foster a remote-first, innovative culture.
Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and analytics.
Optimize data platforms like Databricks Unity Catalog and SQL Server Managed Instances, implementing Lakehouse architecture.
Apply data quality controls, governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.
Ardent supports the federal government in national security and defense priorities, helping protect the nation and advance critical technologies. The company offers competitive pay, comprehensive health coverage, and a culture that values dedication and adaptability, employing purpose-driven innovators and veterans.
Design, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase.
Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we are a high-performance team operating at pace with high ownership and constant iteration.