Data Engineer
Horizontal Talent
Arlington, VA, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Apache ActiveMQ
Adobe InDesign
Airflow
Big Data
BigQuery
Cloud Database
Computer Programming
Databases
Information Engineering
Data Governance
Data Infrastructure
+31 more
Data Integration
Extract Transform Load (ETL)
Apache Hadoop
Hadoop Distributed File System
Apache HBase
Apache Hive
Python (Programming Language)
PostgreSQL
Messaging Application Programming Interface
Microsoft SQL Server
SQL Azure
MongoDB
MySQL
NoSQL
Oracle (Applications)
Performance Tuning
RabbitMQ
Talend
Cloud Platform System
Apache Spark
Indexer
Collibra
Apache Flink
Cassandra
Apache Kafka
Apache Nifi
Spark Streaming
Data Management
Data Pipelines
Amazon Redshift
Microservices
Job description
- Design, build, and support data pipelines that handle batch and real-time ingestion from multiple sources
- Develop solutions for data integration, transformation, storage, search, and aggregation
- Work across big data frameworks and platforms to improve scalability, reliability, and performance
- Collaborate with technical teams to translate business needs into practical data engineering solutions
- Participate in design discussions and help ensure the overall health of the solution architecture
- Support data engineering efforts involving cloud-based infrastructure and analytics use cases
- Contribute to troubleshooting, optimization, and enhancement of existing data workflows
Requirements
- 4+ years of relevant experience working with big data technologies
- Hands-on experience with Hadoop ecosystem tools such as HDFS, Kafka, Spark, Spark Streaming, Hive, Airflow, NiFi, Flink, or similar technologies
- Strong programming skills in Java, Scala, or Python, with Java preferred
- Experience working with NoSQL and MPP data platforms such as HBase, MongoDB, Cassandra, Redshift, Azure SQL DW, or BigQuery
- Working knowledge of AWS data platform services
- Ability to design and implement data engineering solutions independently
- Strong problem-solving, communication, and collaboration skills
- Bachelor’s degree or equivalent combination of education, training, and experience, * Experience with ETL tools such as Informatica or Talend
- Familiarity with databases such as Oracle, MySQL, SQL Server, or Postgres
- Knowledge of data governance practices including security, lineage, and cataloging
- Exposure to tools such as Collibra or Alation
- Understanding of messaging frameworks such as ActiveMQ, RabbitMQ, or Solace
- Experience with search and indexing technologies
- Background in microservices architecture
- Experience with performance tuning and pipeline optimization
- Cloud data certifications or other relevant big data credentials
Horizontal is committed to fostering an inclusive and welcoming environment where different perspectives are valued and every team member can contribute meaningfully. We believe diversity, equity, and inclusion strengthen our teams and help drive better outcomes for everyone.
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