We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. Senior Data Engineer.

Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security.

Here is what you can expect on a typical day in the life of a Data Security Engineer at ADP. TO SUCCEED IN THIS ROLE: Data Security Engineer. Lead Data Security Engineer.

Location & Travel: The Data Engineer position will be an on-site role based at the Pentagon in Northern VA. Security Clearance: The Data Engineer must be a United States Citizen and hold a current DoD TS/SCI security clearance.

Including hands on experience with productionized data ingestion and processing pipelines using T-SQL, SSIS, Python, Data bricks, Snow SQL. Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.

Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.

Data Engineer, Data Engineering PepsiCo, Inc. Plano, TX Actively contribute to code dvlpmnt in projects & services. Must have 2 yrs of exp w/: Data modeling, data warehousing, & building high-volume ETL/ELT pipelines End to End; data profiling & data quality tools; at least 1 MPP database tech such as Redshift, Synapse, BigQuery or SnowFlake; Cloud Orchestration tools such as Airflow, Azure Data Factory ,mng complex dependencies & strict SLA's.

As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.

As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.

As a Capital One Senior Lead Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Lead Data Engineer.

Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.

As a Data Engineer at Middle Seat Digital, you will spearhead the development and management of our data infrastructure. We are looking for a Data Engineer with a combination of the right technical expertise and a passion for helping progressive causes and candidates succeed.

Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Data Engineer. Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.

4+ years of data warehousing experience (Redshift or Snowflake) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Develop manage complex data pipelines orchestrating using Step Functions, Airflow etc.

4+ year experience working on real-time data and streaming applications. At least 2 years of experience in big data technologies. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.