Seeking a Machine Learning Systems Engineer to design and implement large-scale data infrastructure and platforms that power Ads ML feature and training-set workflows. Responsibilities include building batch and realtime feature systems, feature governance (lineage, validation, drift detection, monitoring, reproducibility/versioning), integration with ML production systems, and improving observability, reliability, and cost efficiency. Requires 3+ years in data infrastructure/platform or ML infrastructure, hands-on experience with production services, data pipelines or workflow systems, and experience with at least one distributed system such as Spark/PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, or BigQuery.

MeridianLink seeks a US-remote Data Engineer (2–4 years experience) to design and maintain scalable batch and near real-time data pipelines, integrate internal and external sources, implement data models for analytics and reporting, ensure data quality and performance, and support CI/CD and infrastructure automation. Required technologies include Python, SQL, Apache Spark, Parquet, and Azure Databricks (Delta Lake, Delta Sharing, Unity Catalog); experience with BI tools such as Sisense is noted.

Role requires designing and implementing real-time and batch data pipelines with Qlik Replicate; managing and administering Qlik Replicate environments (monitoring, performance tuning, upgrades); handling data replication across systems such as Oracle, Hadoop and DB2; troubleshooting latency and failures; working on data migration, modernization and integration initiatives; and providing L2/L3 production support. Good-to-have: exposure to Hadoop/Cloudera, Qlik Compose/Enterprise Manager, CI/CD or ETL tools like Talend.

Lead the architecture and implementation of a Databricks-based lakehouse across major clouds, build scalable batch and streaming pipelines, enforce governance (Unity Catalog), optimize Spark workloads, and partner with ML and analytics teams. Requires 8+ years in data engineering with production Databricks experience, strong Spark/PySpark and Delta Lake expertise, cloud infrastructure and IaC experience, and leadership/mentoring experience.

Role focuses on building and productionising GenAI solutions that leverage LLMs (e.g., GPT series), prompt engineering and prompt chains, model and prompt evaluation, retrieval-augmented generation architectures (vector DBs, embeddings, document chunking), data extraction (e.g., PDFs), and continuous performance monitoring. Requires applying software engineering best practices including CI/CD, testing, ETL/data pipelines, load testing and MLOps to ensure reliability in production.

Lead and grow a Data Insights Platform engineering team at GitLab, owning planning, architecture, and delivery for ingestion, buffering, enrichment, replication (Postgres-to-ClickHouse / Siphon CDC), ClickHouse-backed storage, Query API integrations, and classic search. Partner with product, design, infrastructure, and other engineering teams to ensure reliability, scalability, security, observability, and operability across GitLab.com, Dedicated, Self-Managed, and Cells deployments; hire and coach engineers and drive technical decisions for high-throughput, multi-component data systems.

Twilio is hiring a Staff Analytics Engineer to build a centralized business data layer in dbt, implement automated reconciliation and data quality checks, codify GTM/sales metrics with stakeholders, mentor data team members, and investigate complex data anomalies. The role requires a minimum of 8 years' experience and strong expertise in SQL, data modeling, dbt, testing frameworks, CI/CD, and data observability.

Oddball is hiring a remote Backend Engineer to develop and maintain backend services and REST APIs in Go, build ETL pipelines in Python (Pandas/PySpark a plus), and work with PostgreSQL and AWS services (S3, Lambda, Step Functions, Glue). Role supports Healthcare.gov tools and requires authorization to work in the United States; some roles may require U.S. citizenship and clearance eligibility. Salary range listed: $100,000–$135,000/year.

Launch Potato is hiring a Lead BI Developer/Manager to own reporting infrastructure and analytics for multiple verticals. The role requires extracting insights from unstructured data, standardizing dashboards, performing retrospective and experiment analyses, and partnering with Yield, Paid Media, and Account Management. Minimum 7 years in BI/analytics with direct exposure to performance or affiliate marketing and advanced SQL and LookML (or Power BI/Tableau) skills.

Launch Potato seeks a Lead BI Developer to own end-to-end reporting infrastructure and partner with Yield, Paid Media, and Account Management. Role requires expert SQL, experience with unstructured data, advanced LookML (or Power BI/Tableau) skills, reporting ownership, and performance marketing analytics. Minimum 7 years in BI or analytics. Remote, US-based.

Remote (US) Lead BI Developer role responsible for end-to-end reporting infrastructure: standardizing dashboards, building trusted data sources, partnering with Yield/Paid Media/Account Management, and delivering retrospective analyses to drive business decisions. Must have expert SQL, comfort with unstructured data, advanced LookML (or Power BI/Tableau) skills, and a minimum of 7 years in BI/analytics with exposure to performance or affiliate marketing.

Launch Potato seeks a Lead BI Developer to own end-to-end reporting infrastructure for credit cards, banking, and marketplace verticals. Responsibilities include building standardized, trusted reports and dashboards from messy third‑party data, partnering with Yield/Paid Media/Account teams, and delivering retrospective analyses that drive performance marketing decisions. Requires minimum 7 years in BI/analytics, expert SQL, LookML (or Power BI/Tableau) experience, and strong business and stakeholder collaboration skills.

Principal Databricks Architect responsible for architecting and implementing a Databricks-based lakehouse across major cloud providers (AWS/Azure/GCP). Role includes designing batch and streaming pipelines (PySpark, Spark SQL, Structured Streaming, Delta Live Tables), platform standards (CI/CD, testing, observability), Unity Catalog governance, Spark performance optimization, ML operationalization (MLflow, feature stores), and Terraform/IaC for infrastructure. Requires 10+ years data engineering experience (4+ years on Databricks). Salary listed $190,000–$200,000 USD/year. Employer may sponsor work visas and expects ~monthly travel.

Twilio is hiring a Staff Software Engineer (L4) for the Segment data platform/pipelines team (remote, India). The role focuses on designing, operating and maintaining highly available, high-throughput distributed systems and data pipelines (petabyte-scale querying and millions of events/sec), collaborating across teams, mentoring engineers, and acting as a technical lead as needed. Required: Bachelor's/Master's in CS or related, 8+ years of production software experience, experience with streaming/messaging systems (Kafka, Kinesis), stream processing (Spark, Flink), cloud infrastructure (AWS/GCP), container orchestration (Kubernetes/EKS/ECS), and languages such as Go/Java/Scala.

Twilio is hiring a Principal Engineer for the Segment data platform/pipelines team to design, operate, and scale distributed systems handling high-rate data ingestion and processing. The role requires strong expertise in Go or similar languages, distributed systems, cloud-native architectures, and experience with streaming/messaging systems, along with demonstrated work prototyping/deploying GenAI/LLM solutions. The position is remote and restricted to candidates based in India (specified states).

Join Reddit’s Data Movement team to build and maintain the Data Movement Platform that enables batch and streaming data processing used for ML and analytics. Responsibilities include refining data infrastructure, owning platform components for Spark, Flink, and Airflow, automating self-service data workflows, and supporting monitoring/on-call to improve reliability and efficiency. Requires 2+ years software engineering experience; proficient in object-oriented languages (Python, Scala, Go, or Java).

CrowdStrike is hiring an Engineer III to lead technical implementation of a FinOps practice: design and build automated cost monitoring, allocation, tagging, integrations with cloud billing APIs, guardrails, dashboards, and cost-data pipelines. Requires 5+ years software engineering experience, strong cloud platform (AWS/Azure/GCP) and IaC skills, proficiency in Python/Go, and eligibility for CJIS clearance (U.S. citizenship or Green Card).

Cloudera seeks a Senior Staff Software Engineer (Spark) to design and deliver enterprise-grade features for Spark and Livy, focusing on distributed data processing, Iceberg/Parquet, fault tolerance, and large-scale cluster operation. Requires 6+ years professional software development, strong skills in at least one of Java/Scala/Python, experience with distributed systems, and the ability to lead complex product enhancements. Role is remote (listed for UK, Czech Republic, Ireland, Spain) and not eligible for immigration sponsorship or relocation.

Consulting role responsible for end-to-end migration of a large financial-services data platform from Google Cloud (BigQuery, Cloud SQL, Dataflow) to AWS (Redshift, Aurora, DMS, Glue, S3). Work includes data mapping, schema conversion, ETL/ELT and CDC pipeline implementation, time-series and historical data migration at scale, and building monitoring/reconciliation frameworks. The role also involves mentoring teammates and partnering with client stakeholders on data governance, access patterns, and analytics requirements.

Role focuses on architecting and building Operational Data Store/Enterprise Data Lake platforms and automated pipelines. Responsibilities include designing complex data transformations, building Airflow workflows, enforcing CI/CD and version control, implementing data validation, and partnering with Analytics, Sales and Marketing. Requires hands-on experience with Python, SQL, dbt, Airflow, cloud data warehouses (e.g., Snowflake/Redshift) and marketing datasets.