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Key Responsibilities Architecture DesignMinimum 2+ years of experience in architecting enterprise-scale Data platforms for large organizations or business units.Expertise in Designing and defining enterprise data…
Dataflow Systems Engineer Location: Austin, TX, US Department: Systems Engineering Work Location: onsite Job Title: Dataflow Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to…
Builds and maintains BigData ETL/ELT pipelines in Python/Java, moving data from APIs, logs and databases into DWH and Data Lake using Spark, Airflow and Hadoop tooling.
Develops and maintains secure software systems for government programs, requiring active TS/SCI clearance and strong Java or AWS expertise.
Senior Data Engineer builds and optimizes scalable data pipelines on Databricks using Spark and Delta Lake for global clients, focusing on cloud-based analytics and ML workflows.
Build and maintain Java-based cloud applications for large-scale, mission-critical distributed systems used by the Intelligence Community, deploying via IaC and CI/CD in containerized environments.
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
Build and automate CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for secure software deployments while leading an Agile team.
Lead a team to design and maintain automated testing frameworks for Java-based cloud-native apps and data pipelines, reducing manual testing and improving CI/CD workflows.
Senior developer leading architecture, mentoring teams, and driving automation and Gen AI-first innovation in a large retail-tech environment.
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
Develop and deliver scalable ETL/ELT solutions across Teradata and Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities. Ensure efficient data processing, performance…
Build and deploy AI/ML models for government cyber missions using Python, cloud platforms, and Kubernetes; analyze cyber data to extract insights and maintain production ML infrastructure.
Builds and maintains secure CI/CD pipelines, test automation, and integration tooling for classified DoD systems, ensuring repeatable testing and compliance in regulated environments.
Designs and leads large-scale data lake and ODS solutions on Cloudera in AWS, defining best practices and reviewing architecture artefacts for a bank’s enterprise data platforms.
Lead data engineering projects for clients, designing scalable ETL pipelines and analytics solutions using tools like Informatica or Kafka, while mentoring teams and aligning technical delivery with business needs.
Czym będziesz się zajmować? Projektowanie, implementacja i rozwój platform oraz procesów do przetwarzania danych w czasie rzeczywistym (real-time) i wsadowo Budowa i rozwój architektury opartej o event streaming oraz…
Build and automate secure cloud solutions in Python and AWS for a government cybersecurity project, using DevOps pipelines and Apache NiFi in containerized environments.
Builds the full Doowii platform: a conversational analytics tool for education that lets users query data in plain language, integrating AI-driven features and optimizing cloud infrastructure.
Lead a team to design, build, and maintain automated data pipelines using Spark, Airflow, dbt, Snowflake, and Databricks, ensuring scalable, secure data flows for analytics and compliance.
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