We are seeking a Senior Data Engineer with strong experience across AWS or Azure data, data lakes, and AI/ML platform ingestion to join a newly formed data engineering team at one of the world’s largest and most prestigious law firms as it undergoes a major data and AI transformation.
This is a senior, hands-on role focused on building an AWS data lake/lakehouse and evolving the enterprise data platform, ingesting data from complex enterprise business systems and creating high-quality datasets for analytics, reporting and AI/ML in a regulated environment. The role is primarily remote, but you must live within approximately 1.5 hours of Washington DC
Salary $170-200k plus Generous Benefits + Bonus
Candidates must already be eligible to work (Green Card or US Citizen), as there are no H-1B transfers or new visa sponsorship.
Key skills required for the Senior Data Engineer
Circa 10+ years of enterprise data engineering experience.
Experience working through large-scale data transformation or cloud modernisation programmes.
Strong hands-on experience with AWS data platforms and services.
Experience building data lakes, data warehouses and lakehouse architectures.
Strong experience with technologies like Amazon EMR, Databricks and Apache Spark.
Amazon Kinesis experience is desirable, particularly for real-time or streaming data ingestion.
Exposure to data pipelines supporting AI/ML, embeddings, vector databases and RAG.
Strong ETL/ELT, SQL and Python skills.
Knowledge of Bronze / Silver / Gold data architectures.
Experience with data quality, lineage, governance and metadata.
Background in large enterprise, consulting, professional services or financial services environments is highly desirable.
What you’ll do as a Senior Data Engineer
Design and build scalable AWS-based data platforms, and potentially other data stacks.
Build distributed processing workloads with tools like Amazon EMR, Spark and Databricks.
Consolidate data from multiple enterprise applications into centralised data platforms.
Build and optimise scalable ETL/ELT pipelines.
Create curated, model-ready datasets for analytics, reporting and AI/ML.
Implement data quality, lineage, metadata and governance standards.
Navigate changing requirements and bring structure to complex, ambiguous problems.
Help shape technical standards and mentor other data engineers.
This is a chance to join a globally recognised organisation at a key stage in a major data and AI transformation.
You’ll work to modernise a complex enterprise data estate and build the data foundations for analytics, machine learning and generative AI.
The role is particularly suited to someone who combines strong hands-on engineering with the ability to operate in ambiguity, influence vendors and stakeholders, and help drive a large-scale transformation forward.
AWSJobs #DataEngineering #Databricks #DataTransformation #TexasTechJobs
This is a senior, hands-on role focused on building an AWS data lake/lakehouse and evolving the enterprise data platform, ingesting data from complex enterprise business systems and creating high-quality datasets for analytics, reporting and AI/ML in a regulated environment. The role is primarily remote, but you must live within approximately 1.5 hours of Washington DC
Salary $170-200k plus Generous Benefits + Bonus
Candidates must already be eligible to work (Green Card or US Citizen), as there are no H-1B transfers or new visa sponsorship.
Key skills required for the Senior Data Engineer
Circa 10+ years of enterprise data engineering experience.
Experience working through large-scale data transformation or cloud modernisation programmes.
Strong hands-on experience with AWS data platforms and services.
Experience building data lakes, data warehouses and lakehouse architectures.
Strong experience with technologies like Amazon EMR, Databricks and Apache Spark.
Amazon Kinesis experience is desirable, particularly for real-time or streaming data ingestion.
Exposure to data pipelines supporting AI/ML, embeddings, vector databases and RAG.
Strong ETL/ELT, SQL and Python skills.
Knowledge of Bronze / Silver / Gold data architectures.
Experience with data quality, lineage, governance and metadata.
Background in large enterprise, consulting, professional services or financial services environments is highly desirable.
What you’ll do as a Senior Data Engineer
Design and build scalable AWS-based data platforms, and potentially other data stacks.
Build distributed processing workloads with tools like Amazon EMR, Spark and Databricks.
Consolidate data from multiple enterprise applications into centralised data platforms.
Build and optimise scalable ETL/ELT pipelines.
Create curated, model-ready datasets for analytics, reporting and AI/ML.
Implement data quality, lineage, metadata and governance standards.
Navigate changing requirements and bring structure to complex, ambiguous problems.
Help shape technical standards and mentor other data engineers.
This is a chance to join a globally recognised organisation at a key stage in a major data and AI transformation.
You’ll work to modernise a complex enterprise data estate and build the data foundations for analytics, machine learning and generative AI.
The role is particularly suited to someone who combines strong hands-on engineering with the ability to operate in ambiguity, influence vendors and stakeholders, and help drive a large-scale transformation forward.
AWSJobs #DataEngineering #Databricks #DataTransformation #TexasTechJobs
Senior Data Engineer - Data Lake / AI (Washington) in washington dc at Unknown Company
This position is listed as full time and able to be worked remotely.