{"schemaVersion":"jobsearcher.job.v1","id":"822414d8ca69aa3c0e496f8a","url":"https://jobsearcher.com/jobs/822414d8ca69aa3c0e496f8a","canonicalUrl":"https://jobsearcher.com/jobs/822414d8ca69aa3c0e496f8a","title":"Data Engineer","description":"Job BriefWe are looking for an experienced Data Engineer / Python Developer with 4–5 years of hands-on experience in developing data pipelines, backend applications, and scalable data processing solutions. The ideal candidate should have strong expertise in Python, SQL, ETL/ELT, PySpark, cloud platforms, and data engineering frameworks.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows using Python and SQL.Develop Python-based applications, scripts, APIs, and automation solutions.Build and optimize data processing pipelines using PySpark/Apache Spark.Work with relational and NoSQL databases for data ingestion, transformation, and storage.Implement data quality, validation, monitoring, and error-handling processes.Develop and maintain workflows using tools such as Airflow, Azure Data Factory, or Databricks.Integrate data from APIs, databases, files, and cloud-based sources.Optimize SQL queries and data pipelines for performance and scalability.Collaborate with data scientists, analysts, software engineers, and business stakeholders.Follow CI/CD, Git, Agile, and data engineering best practices.Required Skills4–5 years of professional experience in Data Engineering/Python Development.Strong proficiency in Python and SQL.Hands-on experience with Pandas, NumPy, PySpark, and REST APIs.Strong understanding of ETL/ELT, data warehousing, data modeling, and database concepts.Experience with Apache Spark and distributed data processing.Experience with at least one cloud platform: AWS, Azure, or GCP.Knowledge of Databricks, Airflow, Azure Data Factory, or similar orchestration tools.Experience with PostgreSQL, MySQL, SQL Server, Snowflake, or similar databases.Strong knowledge of Git, CI/CD, testing, and Agile methodologies.Tools & TechnologiesPython, SQL, PySpark, Pandas, NumPy, Apache Spark, Airflow, Databricks, Azure Data Factory/Microsoft Fabric, AWS/Azure/GCP, PostgreSQL, Snowflake, REST APIs, Git, Docker, CI/CD.Preferred Certifications: If the candidate has any of these certifications, it'll be goodMicrosoft Certified: Fabric Data Engineer Associate (DP-700)Databricks Certified Data Engineer AssociateGoogle Cloud Professional Data EngineerAWS Certified Data Engineer – Associate","company":"Softstandard Solutions","rawCompany":"softstandard solutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T14:59:34.850Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Job BriefWe are looking for an experienced Data Engineer / Python Developer with 4–5 years of hands-on experience in developing data pipelines, backend applications, and scalable data processing solutions. The ideal candidate should have strong expertise in Python, SQL, ETL/ELT, PySpark, cloud platforms, and data engineering frameworks.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows using Python and SQL.Develop Python-based applications, scripts, APIs, and automation solutions.Build and optimize data processing pipelines using PySpark/Apache Spark.Work with relational and NoSQL databases for data ingestion, transformation, and storage.Implement data quality, validation, monitoring, and error-handling processes.Develop and maintain workflows using tools such as Airflow, Azure Data Factory, or Databricks.Integrate data from APIs, databases, files, and cloud-based sources.Optimize SQL queries and data pipelines for performance and scalability.Collaborate with data scientists, analysts, software engineers, and business stakeholders.Follow CI/CD, Git, Agile, and data engineering best practices.Required Skills4–5 years of professional experience in Data Engineering/Python Development.Strong proficiency in Python and SQL.Hands-on experience with Pandas, NumPy, PySpark, and REST APIs.Strong understanding of ETL/ELT, data warehousing, data modeling, and database concepts.Experience with Apache Spark and distributed data processing.Experience with at least one cloud platform: AWS, Azure, or GCP.Knowledge of Databricks, Airflow, Azure Data Factory, or similar orchestration tools.Experience with PostgreSQL, MySQL, SQL Server, Snowflake, or similar databases.Strong knowledge of Git, CI/CD, testing, and Agile methodologies.Tools & TechnologiesPython, SQL, PySpark, Pandas, NumPy, Apache Spark, Airflow, Databricks, Azure Data Factory/Microsoft Fabric, AWS/Azure/GCP, PostgreSQL, Snowflake, REST APIs, Git, Docker, CI/CD.Preferred Certifications: If the candidate has any of these certifications, it'll be goodMicrosoft Certified: Fabric Data Engineer Associate (DP-700)Databricks Certified Data Engineer AssociateGoogle Cloud Professional Data EngineerAWS Certified Data Engineer – Associate","datePosted":"2026-08-14T14:59:34.850Z","dateModified":"2026-08-14T14:59:34.850Z","hiringOrganization":{"@type":"Organization","name":"Softstandard Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"822414d8ca69aa3c0e496f8a"},"url":"https://jobsearcher.com/jobs/822414d8ca69aa3c0e496f8a"}}