Data Engineer

Location

United States + 43 moreAll locations: United States, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, Canada

Posted

5 days ago

Salary

Not specified

Seniority

Mid Level

Job Description

Role Description

Join #Ensiteam! 🚀 We are a company focused on custom software development and have been in the market for over 19 years. At Ensitech, we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada. Each one of our collaborators works with diverse teams and colleagues around the world in the design and commercialization of software. We look forward to having you as part of our team in the role of Data Engineer (Mid-Level).

  • Build and maintain ETL/ELT pipelines to ingest, transform, and store data from multiple sources.
  • Support optimization of data processing workflows for performance and reliability.
  • Implement batch and real-time data processing using Apache Spark, Kafka, and Databricks.
  • Support development of data lakes, warehouses, and lakehouses (Azure Databricks).
  • Work with structured and unstructured data across SQL and NoSQL databases.
  • Implement data validation, cleansing, and monitoring.
  • Support data governance and compliance policies (e.g., GDPR, CCPA).
  • Maintain documentation, metadata, and data lineage.
  • Deploy and support cloud-based data solutions (Azure, Databricks).
  • Collaborate with data analysts and software engineers.

Qualifications

  • Bachelor’s Degree in Computer Science, Information Systems, or a related field.
  • Experience in data architecture or related field (within the overall required experience).
  • Total experience aligned to mid-level seniority.
  • Experience with data ingestion pathways including ADF.
  • Proficiency in Python, SQL, or Scala.
  • Experience with Azure Data Factory and Databricks.
  • Experience with big data frameworks (Apache Spark, Hadoop, Databricks).
  • Knowledge of data modeling and API-based integrations.
  • Familiarity with Medallion Architecture.

Soft Skills

  • Oral Communication – Speaks clearly and listens effectively.
  • Organizational Support – Follows processes and supports company goals.
  • Professionalism – Works respectfully and handles pressure effectively.
  • Problem-solving and analytical thinking.

Benefits

  • 100% remote opportunity
  • Competitive compensation package
  • Career growth with international clients
  • Opportunities to work with cutting-edge technologies
  • A team focused on personal development and learning

Job Requirements

  • Bachelor’s Degree in Computer Science, Information Systems, or a related field.
  • Experience in data architecture or related field (within the overall required experience).
  • Total experience aligned to mid-level seniority.
  • Experience with data ingestion pathways including ADF.
  • Proficiency in Python, SQL, or Scala.
  • Experience with Azure Data Factory and Databricks.
  • Experience with big data frameworks (Apache Spark, Hadoop, Databricks).
  • Knowledge of data modeling and API-based integrations.
  • Familiarity with Medallion Architecture.
  • Soft Skills
  • Oral Communication – Speaks clearly and listens effectively.
  • Organizational Support – Follows processes and supports company goals.
  • Professionalism – Works respectfully and handles pressure effectively.
  • Problem-solving and analytical thinking.

Benefits

  • 100% remote opportunity
  • Competitive compensation package
  • Career growth with international clients
  • Opportunities to work with cutting-edge technologies
  • A team focused on personal development and learning

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