Sardine is hiring a Data Platform Engineer based in Brazil (remote) to build scalable, data-intensive applications including ETL and streaming pipelines, high-performance APIs, and scalable storage (e.g., Bigtable, BigQuery, ElasticSearch). The role requires 5+ years of experience and strong hands-on skills with technologies such as Apache Flink/Beam/Spark, Go/Python/Java, SQL/NoSQL, AWS or GCP, Docker, Kubernetes, and CI/CD.

Muck Rack seeks a Lead Software Engineer to design, build, and evolve distributed, event-driven ingestion pipelines that transform large volumes of unstructured content into structured, enriched data. The role requires partnering with Product, Search, Data Science, and Platform teams, mentoring engineers, and driving architectural decisions. Required: 8+ years' software engineering experience and proficiency with Python, streaming technologies (e.g., Kafka/Kinesis), microservices, gRPC/Protocol Buffers, and large-scale data systems.

CrowdStrike seeks a Sr. Data Pipeline Engineer to design, scale and optimize real-time and batch data ingestion and transformation pipelines. Role responsibilities include integrating data from systems such as Salesforce, NetSuite and Workday; ensuring data quality, observability and reliability; supporting AI/ML workflows and telemetry analytics; and applying DevOps/CI-CD practices. Requires 12+ years experience. U.S. base salary range: $125,000–$180,000/year.

The role involves developing and owning data solutions from conception to deployment, analyzing and reviewing code (Python, AWS Glue, AWS Kinesis, SQL), implementing high-volume ETL/data transformation solutions, and modifying data infrastructure to improve analysis and reporting. Requires 6+ years experience, strong SQL/Python/ETL skills, familiarity with AWS services, participation in on-call rotation, and effective communication and collaboration skills.

Foundational hire for EXANTE's new Intelligence Core: define targets, engineer features from trading/behavioral data, train and validate predictive models (churn, propensity, CLV), design monitoring and deliver daily client-level scores integrated into CRM workflows. Requires 4+ years building and deploying predictive models, strong Python and SQL skills, experience with tabular/time-series data and communicating results to non-technical stakeholders.

Lead and evolve Veeva's global data migration practice for Development Cloud and Quality Cloud, build and manage a global team (50+), drive delivery excellence on large-scale enterprise migrations, and architect AI-enabled, AI-ready migration strategies. Requires 10+ years in enterprise software technical consulting/services and up to 40% travel.

Lead and evolve Veeva’s global data migration practice with an emphasis on AI-readiness; hire and run a global team, drive delivery excellence for large-scale enterprise migrations. Requires 10+ years in enterprise software technical consulting/services; role is based in US Central or Eastern timezones with up to 40% travel. Salary range listed: $200,000–$275,000 (base).

Lead and evolve Veeva's global migration services practice for Development Cloud and Quality Cloud. Architect data migration strategy emphasizing AI-readiness, hire and mentor a global team, and drive delivery excellence for large-scale enterprise data migrations. Requires 10+ years in enterprise software technical consulting/services and experience managing global billable teams of 50+ with deep data, integration, and architecture expertise. Located in the US (Central or Eastern timezones); travel up to 40%.

Work on foundational data services and self-service tooling for Coinbase's internal and third-party data, including cloud data warehouses, data lakes, Airflow, Spark, Kafka, SDKs, security, cataloging, lineage, and observability. Role requires 5+ years backend engineering experience and proficiency in Python, Go, or Java. Annual base salary range: $186,065–$218,900 USD.

The Home Depot seeks a Software Engineer II for its Enterprise Data Warehouse to develop and maintain data pipelines, curated/ADS layers, and semantic layer logic; ensure data integrity, performance, and scalability; and create monitoring, dashboards, and CI/CD automation. Preferred experience: 1–3 years in data engineering or backend roles, proficiency in SQL and Python, hands-on BigQuery, exposure to Airflow/Jenkins/Git, and data validation/unit testing. Minimum 2 years' work experience. Pay range listed for certain locations: $90,000–$170,000/year.

The Senior Manager, Data Insights will lead a team of data engineers, analysts, and scientists to own Docker's single source of truth, data modeling, governance, infrastructure, and data products. The role drives the roadmap and execution of data strategy, partners cross-functionally, manages vendor relationships, mentors data professionals, and enables self-serve analytics. Requires 10+ years of relevant experience and 6+ years of people management. Docker does not offer visa sponsorship for this role; the position is remote-first with offices in Seattle and Paris.

Lead a team of 8 leads overseeing 500–800+ curators to own and optimize the data curation engine for the Link Key People product. Responsibilities include process optimization, operationalizing AI, KPI tracking (quality and efficiency), coaching leads, quality control, and executing product/technology rollouts. Requires 3+ years people management and fluency in English.

Seeking an experienced Data Architect with deep Snowflake expertise to design and manage secure, compliant data platforms for medical device and healthcare domains. Responsibilities include data modeling, building data lakes/warehouses, ETL/ELT and pipeline architecture, governance and compliance (HIPAA, FDA, GDPR), cloud integration (AWS/Azure/GCP), and enabling analytics/AI use cases. 6-month contract (extendable), remote within India, 8+ years of relevant experience required.

Hands-on growth & data position at GitBook: run user research, design and run experiments and campaigns, build lightweight data apps/workflows, improve data modeling and pipelines, and connect product/marketing/sales systems. Works across commercial and product functions with a strong bias toward action.

Manager role responsible for the architecture and roadmap of Kraken's real-time streaming and data platform (Spark, Kafka, Iceberg, RisingWave, Flink), building scalable data systems for trading, risk, compliance and analytics. Requires 8+ years in data/platform/distributed systems (with 3+ years managing teams), experience with AWS data services, production streaming/CDC pipelines, programming in Python/Scala/Java, and adoption of AI automation in data workflows.

Senior Technical Architect role on the Professional Services team responsible for Tableau-based data analytics solutions: platform architecture, on-premises to cloud migration, data governance, dashboard development, performance tuning, and advisory/on-site customer engagement. Requires enterprise software deployment and server/cloud platform experience with strong hands-on technical and consulting skills.

Twilio is hiring a remote India-based Systems Support & Data Operations Administrator to support Global Sales. The role combines Salesforce administration (user setup, security, CPQ/OLM, page layouts, workflows, validation rules, approval processes) with data stewardship (data audits, firmographic enrichment, data quality) and integrations (ERP/Billing synchronization). The position requires 3+ years as a Salesforce Administrator, an ADM-201 certification, and experience in data quality analysis. Desired skills include SQL, Heroku, Python, Tableau/Tableau CRM, and advanced Salesforce automation (Apex, Flow, SOQL).

Hands-on role building AI-driven analytics on top of the company data warehouse (primarily BigQuery). Responsibilities include designing AI interactions with warehouse data, working with LLMs and AI agents, ensuring metric correctness, improving data governance and access controls, and automating analytical workflows and validation.

Twilio is hiring an L4/Staff Machine Learning Engineer for the Trust Intelligence Platform (remote - US). The role involves architecting scalable data pipelines and feature stores, building reproducible ML training/evaluation/inference workflows, integrating event streams, and operating MLOps and cloud infrastructure. Requires a B.S. (or equivalent), 4–8 years of experience building/operating data or ML systems, and proficiency with Python, SQL, cloud platforms, containerization, and orchestration tools.

Design, build, and evolve machine learning systems that power Hopper's pricing engine: implement automated training pipelines, ETL and feature engineering, deploy real-time ML pricing solutions, monitor production for latency/drift/skew, and run champion-challenger tests. Requires ~5+ years experience and proficiency with Python, Scala, SQL, distributed data processing and production ML systems.