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…

- 4+ years of experience as an Analytics or Data Engineer, ideally in product-focused or high-growth environments - 1+ years experience and expertise in SQL: understand aggregation and window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries - Proficient in Python (bonus for experience with pandas, PySpark, Airflow, or similar frameworks) - Hands-on experience delivering scalable data solutions using modern data platforms (BigQuery, …

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…

- 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 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…

- 3+ years of professional experience as an Analytics Engineer, or equivalent - A Bachelor’s degree in a technical field (Computer Science, Physics, Math, Economics, etc) or equivalent technical education - Hands-on experience building data pipelines and models with tools like dbt, and Airflow - Deep competency with SQL for transformations including window functions, common table expressions, and query tuning - Demonstrable experience working with data in Snowflake or similar SQL-based analytics…

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…

- 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 hands-on experience - Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field - Strong understanding and ability to provide mentorship in data ETL processes and tools for designing and managing data pipelines - Proficient with big data frameworks and tools like Apache Hadoop, Apache Spark, or Apache Kafka for processing and analyzing large datasets - Hands-on experience with data serialization formats like JSON, …

- 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 query languages

- Technical expertise in cloud-based big data engineering, including data wrangling, analysis, and pipeline development - Experience with AWS services such as S3, Lambda, DynamoDB, Redshift, RDS - Proficiency in Databricks, Spark, and Python - Ability to work on a geographically distributed team - Passion for software engineering with versatility, continuous learning, and desire to empower team members - Experience building scalable, highly available, efficient, and secure software solutions for…

- 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

- 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…

- 8+ years in data orchestration, data warehousing, and ETL/ELT development - Proficient in Python (production-level scripting, understanding existing code, Pandas DataFrames, ReST API Calls) - Proficient in SQL Querying; extensive experience with Google BigQuery and the broader GCP platform. Strong knowledge of database concepts - Proven experience developing and troubleshooting ETL/ELT processes. Exposure to ETL tools (e.g., Informatica is a plus) and understanding of ETL/ELT architecture, inc…