Data Engineer
AARATECH · Washington, District of Columbia, United States
FULL TIMEpermanent
Job Description
Job Title: Senior Data Engineer – Cloud Data Platforms
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
Company: Aaratech Inc.Employment Type: Full-Time, W2 (deployed to client projects)Experience: 4 yearsCompensation: $80,000 – $90,000 per year (Negotiable)Work Mode: On-Site / HybridWork AuthorizationAt this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.Job SummaryAaratech Inc. is seeking a Senior Data Engineer to build and improve cloud-based data solutions. You will design and maintain scalable pipelines, help shape data models and engineering standards, and support analytics and BI teams with reliable, well-structured data.What You Will Do• Design and build ETL/ELT pipelines for enterprise data integration on cloud platforms.• Help design and optimize data warehouse and lakehouse structures (Snowflake, Databricks, Synapse).• Write efficient SQL and Python/PySpark transformations.• Contribute to CI/CD, testing, and monitoring practices for data pipelines.• Help maintain data quality and documentation across the platform.• Partner with analysts, data scientists, and application teams to deliver trusted data.• Support and guide junior engineers through code reviews and knowledge sharing.What We Are Looking For• Bachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience.• 4+ years of data engineering or related experience (ETL, data warehousing, cloud data work).• Strong SQL and solid Python skills.• Hands-on experience with at least one cloud data platform — Databricks, Snowflake, Azure Synapse/Data Factory, or AWS Glue/Redshift.• Experience designing data models or pipelines for multi-source environments.• Comfortable explaining technical work to non-technical stakeholders.Tools You Will Work With• Cloud: Azure (Data Factory, Synapse, Fabric) or AWS (Glue, Redshift, S3) — one is enough.• Platforms: Databricks, Snowflake, or Delta Lake.• Processing: SQL, Python, PySpark.• Orchestration: Airflow, dbt, or Azure Data Factory — any of these.• DevOps: Git plus Azure DevOps or GitHub Actions.Nice to Have (Not Required)• Streaming experience (Kafka, Event Hubs, Kinesis).• Terraform or other infrastructure-as-code exposure.• Familiarity with data governance or catalog tools (Unity Catalog, Purview, Collibra).• Any work preparing data for AI/ML use cases.• Certifications such as Databricks Data Engineer, SnowPro, DP-203, or AWS Data Engineer — a plus, not a requirement.About Aaratech Inc.Aaratech Inc. is a technology-driven organization delivering innovative solutions across data & analytics, cybersecurity, healthcare, and enterprise domains. xzbcwsv We are committed to helping organizations build scalable cloud data platforms, optimize data workflows, and enable data-driven decision-making through modern engineering practices.roblem-solving and communication skills
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
Company: Aaratech Inc.Employment Type: Full-Time, W2 (deployed to client projects)Experience: 4 yearsCompensation: $80,000 – $90,000 per year (Negotiable)Work Mode: On-Site / HybridWork AuthorizationAt this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.Job SummaryAaratech Inc. is seeking a Senior Data Engineer to build and improve cloud-based data solutions. You will design and maintain scalable pipelines, help shape data models and engineering standards, and support analytics and BI teams with reliable, well-structured data.What You Will Do• Design and build ETL/ELT pipelines for enterprise data integration on cloud platforms.• Help design and optimize data warehouse and lakehouse structures (Snowflake, Databricks, Synapse).• Write efficient SQL and Python/PySpark transformations.• Contribute to CI/CD, testing, and monitoring practices for data pipelines.• Help maintain data quality and documentation across the platform.• Partner with analysts, data scientists, and application teams to deliver trusted data.• Support and guide junior engineers through code reviews and knowledge sharing.What We Are Looking For• Bachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience.• 4+ years of data engineering or related experience (ETL, data warehousing, cloud data work).• Strong SQL and solid Python skills.• Hands-on experience with at least one cloud data platform — Databricks, Snowflake, Azure Synapse/Data Factory, or AWS Glue/Redshift.• Experience designing data models or pipelines for multi-source environments.• Comfortable explaining technical work to non-technical stakeholders.Tools You Will Work With• Cloud: Azure (Data Factory, Synapse, Fabric) or AWS (Glue, Redshift, S3) — one is enough.• Platforms: Databricks, Snowflake, or Delta Lake.• Processing: SQL, Python, PySpark.• Orchestration: Airflow, dbt, or Azure Data Factory — any of these.• DevOps: Git plus Azure DevOps or GitHub Actions.Nice to Have (Not Required)• Streaming experience (Kafka, Event Hubs, Kinesis).• Terraform or other infrastructure-as-code exposure.• Familiarity with data governance or catalog tools (Unity Catalog, Purview, Collibra).• Any work preparing data for AI/ML use cases.• Certifications such as Databricks Data Engineer, SnowPro, DP-203, or AWS Data Engineer — a plus, not a requirement.About Aaratech Inc.Aaratech Inc. is a technology-driven organization delivering innovative solutions across data & analytics, cybersecurity, healthcare, and enterprise domains. xzbcwsv We are committed to helping organizations build scalable cloud data platforms, optimize data workflows, and enable data-driven decision-making through modern engineering practices.roblem-solving and communication skills
Details
| Company | AARATECH |
| Location | Washington, District of Columbia, United States |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |