The Data Architect/Sr Data Engineer will be responsible for developing Python modules using NumPy multi-dimensional arrays, pandas, and dynamic programming in AWS and Snowflake and expanding and optimizing our ETL and data pipeline architecture and data flow and collection across our Business Portfolio.

The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Job Description: Title: Data Engineer Location: On-Site in Arlington, VACitizenship/Clearance Requirement: US Citizen with an active TS/SCI Clearance requiredJob Description: Our client is seeking experienced Data Engineers to join their Advana team.

Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.

The Data Engineer responsible for designing, developing, and maintaining data pipelines in support of data engineering and data management activities. The Data Engineer develops data solutions with moderate to high complexity that also have moderate to high business criticality.

Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps. Working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.

We are hiring for a Senior Data Engineer with 5 yrs. of experience in data engineering and a proficiency in cloud technologies, particularly AWS (S3, EC2, RDS, Redshift) and cloud data warehouses like Snowflake, Databricks, and Redshift.

Develop automated workflows using Apache Airflow and Astronomer to streamline data processing and improve efficiency. Design, build, and maintain scalable and robust data pipelines on GCP using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow.

We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

We are seeking a talented and highly motivated data engineer to join the Quantitative Sciences & Digital Transformation group within the Portfolio Integration & Business Operations organization.

Data Engineer sought by DISH Wireless LLC in Littleton, CO. Requires: Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, or closely related field plus 5 years of progressive post-baccalaureate experience in job offered or as Hadoop Developer, Commercial Quality Assurance, Graduate Assistant, and Big Data Hadoop Developer.

Experience with data engineering tools and technologies, such as Apache Spark, Hadoop, and Hive. Experience writing Python scripts for data engineering tasks. Experience with cloud-based data engineering tools and services.

Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery) Big Data Platforms (Apache Spark, Data Bricks, Presto, Amazon EMR.

Index Analytics is seeking a Data Engineer to support Government clients in the Baltimore and Washington D.C. Metro Area. The Data Engineer will provide O&M support and contribute to building new implementations for thousands of users spread across the country.

Strong Technical Background: Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.