Remote Data Engineer Jobs

Candidates should have 5+ years of progressive experience in data engineering or analytics engineering, with a strong emphasis on building and optimizing data pipelines and data warehouses. They should possess advanced SQL skills, with proven experience in writing complex, performant queries and optimizing them in a data warehouse environment like Redshift. A deep understanding of data warehousing concepts (e.g., dimensional modeling, ETL/ELT patterns) and extensive hands-on experience with data…

Candidates should have at least 3 years of experience in analytics engineering, data engineering, or data analysis with a strong focus on building data pipelines and deriving insights. Advanced SQL skills for complex queries and performance optimization on large datasets are required. Experience with ELT/ETL and orchestration tools like Airflow is necessary, along with a solid foundation in data modeling principles. Candidates should possess strong problem-solving skills, attention to detail, an…

Candidates should have a proven track record of designing and building scalable data platforms, including data warehouses, pipelines, and data lakes. Experience with ETL/ELT processes using tools like SQL and dbt is essential, as is the ability to create effective data models for analytics and reporting. Familiarity with business intelligence tools such as Tableau and a strong understanding of data governance and quality standards are required. The role also necessitates cross-functional collabo…

- 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

Candidates should possess 4+ years of experience as a Data Engineer, Analytics Engineer, or similar role with significant experience building and maintaining production data pipelines. Expert proficiency in SQL for complex data transformations, performance optimization, and working with large datasets is required, along with strong PostgreSQL experience being highly preferred. Proficiency in Python or another programming language for data pipeline development, automation, and scripting is also n…

Candidates should have 3+ years of professional experience writing production-ready code in Python, DBT, Scala, or Java, with high proficiency in SQL and the ability to write efficient code considering resource and performance constraints. A minimum of 2 years of professional experience working directly with data pipelines, ideally with exposure to loan datasets, is required. Familiarity with relational data concepts, big data tools, and cloud-native technologies like Google Cloud Platform (BigQ…

Candidates should possess skills in Data & Tech, Engineering, Data & Analytics, Infrastructure & IT, Sales, Account Management, Field Services & Customer Support, Inside Sales, Outside Sales, and Creative & Marketing.

- 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

- Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field - 7+ years of hands-on experience - Strong understanding and ability to provide mentorship in data ETL processes and tools - Proficient with big data frameworks (Apache Hadoop, Apache Spark, Apache Kafka) - Hands-on experience with data serialization formats (JSON, Parquet, XML) - Proficient with scripting languages (Python/Java/Scala) - Proficient with database administration and performance tuning (…

- 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…

- Deep technical expertise in data engineering - Experience architecting and scaling data pipelines - Proficiency in SQL, DBT, and Airflow - Experience with cloud data platforms (e.g., Snowflake) - Ability to mentor and lead other engineers - Experience with data modeling - Experience with advertising technology platforms

- 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…

- 5+ years of experience as a Data Engineer or similar role - Strong proficiency in SQL (complex queries, performance tuning, window functions) - Hands-on experience with Snowflake (warehouse management, query profiling, caching strategies) - Proficiency in Python for scripting, automation, and data manipulation - Experience working with BI or analytics teams to design and maintain data models for dashboards or self-service analytics - Solid understanding of ETL/ELT best practices, including orc…