Remote Data Engineer Jobs

- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience - 4+ years of experience in data engineering or a related field - Intermediate to advanced programming skills in Python - Proficiency in SQL and experience with relational databases - Strong knowledge of database and data warehousing design and management - Strong experience with DBT (data build tool) and test-driven development practices

- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field - 5+ years of proven experience as a data engineer with a focus on CDP (Customer Data Platform) - Proficiency in programming languages such as Python, SQL, and experience with relevant frameworks - Strong knowledge of data modeling, ETL processes, and database systems - Familiarity with Adobe Experience Cloud solutions and their integration with RTCDP - Experience with cloud platforms (e.g., AWS, Azur…

- 7+ years of relevant professional experience in data engineering - 5+ years of experience with AWS, Snowflake, DBT, Airflow - Advanced level of proficiency in Python and SQL - Working knowledge of relational databases and queries

- Prior Data Engineering experience, preferably in Financial Services - A degree in computer science, engineering, mathematics or a related technical field - Experience with object-oriented programming - General familiarity with Python, Apache Spark / PySpark, Java/Spring - Amazon Web Services - SQL, relational databases - Understanding of data structures and algorithms - Interest in data modeling, visualization, and ETL pipelines - Knowledge of financial concepts (e.g., stocks, bonds, etc.) is …

- Experience designing and implementing data pipelines and big data solutions on AWS - Proficiency with Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python - Ability to read, extract, transform, stage, and load data; data ingestion and integration tooling, databases, warehouses - Experience processing unstructured data for analysis - Strong software engineering mindset; ability to build scalable, highly available, efficient, and secure data solutions - Ability to work on a geographical…

- 5+ Years of backend software engineering experience - Minimum of 1 year experience building product focused Data Pipelines or Data Warehouse - Demonstrable experience with data pipelines, including some of Kinesis, Airflow, Spark, Lambda, Flink and Athena - Experience with event or analytical data sets in databases including some of Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake - Familiarity with computer science fundamentals such as data structures, distributed systems, concur…

- A minimum of 8 years of industry experience in the data infrastructure/data engineering domain - A minimum of 8 years of experience with Python and SQL - A minimum of 4 years of industry experience using DBT - A minimum of 4 years of industry experience using Snowflake and its basic features - A minimum of 4 years of industry experience using Infrastructure as Code tools, specifically CDK and Terraform - Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue…

- Experience designing, creating, and maintaining data solutions, including data pipelines and data structures - Experience working with data users, data science, and business intelligence personnel - Ability to translate concepts to code to enhance data management frameworks and services - Experience collaborating with product, operations, and technology teams - Experience participating in team meetings and collaborations - Ability to assist in educating others on data management and pipelining…

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field - 5+ years of professional experience in a Data Engineering role, specifically focused on supporting complex analytics initiatives and machine learning - Expert proficiency in PySpark and distributed computing frameworks for processing petabyte-scale datasets - Deep working knowledge of cloud ecosystems (AWS, GCP, or Azure) and modern data lake/warehouse technologies - Demonstrated experience in migrating protot…

- Experience with SQL and Python - Expertise in ETL processes and data warehousing - Familiarity with Snowflake and DBT - Familiarity with .NET - Experience building, maintaining, and optimizing data pipelines and architectures - Experience with data analysis, reporting, and visualization - Strong technical background - Ability to troubleshoot and resolve data-related issues