1 to 25 of 102 Remote PySpark Jobs

includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices More ❯

includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices More ❯

using Microsoft SSIS, SQL, SQL Agent, and scripting languages such as PowerShell Minimum 4 years of experience with one or more of the following: SQL, T-SQL, Python, or PySpark Proven experience working with Microsoft database and business intelligence tools including SQL Server, SSRS, SSAS (cubes), and PowerShell scripting Experience designing and building ETL or data engineering solutions using More ❯

Azure services Requirements: 10+ years in cloud data engineering, with a strong focus on building scalable data pipelines Expertise in Azure Databricks, including building and managing ETL pipelines using PySpark or Scala Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics More ❯

including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of More ❯

are an experienced Data Engineer within financial services environments You have expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with More ❯

including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of More ❯

data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3. Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments. Automate platform operations using Python, PySpark, and infrastructure-as-code tools. Collaborate with cross-functional teams to support data ingestion, transformation, and deployment. Provide technical leadership and mentorship to junior developers and third-party teams. More ❯

PSEG governance and change control processes Develop and maintain ELT/ETL pipelines using AWS Glue, Step Functions, Lambda, DMS, and AppFlow Automate transformations and model refresh using Python, PySpark and SQL Implement end-to-end source-to-target data integration, mapping and transformation across data source ? Raw ? Curated ? Redshift Proficient in Redshift SQL for transformations, optimization, and model More ❯

collaboration, learning, and innovation What we're looking for Hands-on experience with the Azure Data Engineering stack (ADF, Databricks, Synapse, Data Lake) Strong skills in SQL and Python (PySpark experience is a bonus) Experience building and optimising ETL/ELT pipelines A background in Financial Services is a plus, but not essential A curious mindset and the ability More ❯

Learning, Deep Learning or LLM Frameworks) Desirable Minimum 2 years experience in Data related field Minimum 2 years in a Business or Management Consulting field Experience of Docker, Hadoop, PySpark, Apache or MS Azure Minimum 2 years NHS/Healthcare experience Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order More ❯

modelling techniques + data integration patterns. Experience of working with complex data pipelines, large data sets, data pipeline optimization + data architecture design. Implementing complex data transformations using Spark, PySpark or Scala + working with SQL/MySQL databases. Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg More ❯

modelling techniques + data integration patterns. Experience of working with complex data pipelines, large data sets, data pipeline optimization + data architecture design. Implementing complex data transformations using Spark, PySpark or Scala + working with SQL/MySQL databases. Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg More ❯

end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business and other departments, translating More ❯

and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of More ❯

and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

front-end development (HTML, Stream-lit, Flask Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skills Experience with RESTful APIs and integrating backend services All profiles will be reviewed More ❯

and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and More ❯

and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and More ❯

CDC. Knowledge of public/enterprise cloud technologies (AWS EC2, S3 Bucket, GCP, Azure) is advantageous but not required. Some skills/experience with automated testing frameworks (Java, Python, PySpark, Bitbucket, Gitlab, Jenkins) is advantageous but not required. Strong Environment Management skill Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to More ❯

EMEA to drive productivity and efficiency. Own sales operations functions including pipeline management, incentive compensation, deal desk, lead management, and contact centre operations . Use SQL and Python (Pandas, PySpark) to analyse data, automate workflows, and generate insights. Design and manage ETL/ELT processes, data models, and reporting automation . Leverage Databricks, Snowflake, and GCP to enable scalable More ❯