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Data Engineer (Oracle Apps)

  • New Hampshire, Merrimack

  • 07/09/2026

  • Contract

  • Active

Job Description:

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    JOB SUMMARY
    Senior Data Engineer Position Overview: We are seeking a highly skilled Senior Data Engineer with Application DBA expertise to design, build, optimize, and support enterprise data platforms. This role combines advanced data engineering with hands-on database administration, ensuring high availability, performance, and scalability of critical data systems. The ideal candidate brings deep experience in data warehousing, ETL development, and database management, along with a strong foundation in modern cloud data platforms.

    Key Responsibilities
    Application DBA Responsibilities
    Administer, monitor, and tune Oracle databases supporting critical applications
    Manage database performance (query optimization, indexing, partitioning, and execution plans)
    Perform database maintenance activities (backups, recovery, patching, upgrades)
    Ensure high availability, disaster recovery, and data integrity
    Support application teams in database design and troubleshooting
    Data Engineering & Architecture
    Develop and maintain data models (dimensional and normalized) to support analytics and reporting
    Build and optimize enterprise data warehouse solutions across Oracle and Snowflake platforms
    Ensure efficient ingestion, transformation, and integration of structured and unstructured data
    Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Informatica and Python
    Reporting & Analytics Support
    Support and enhance Oracle Analytics Server reporting environments
    Collaborate with BI and analytics teams to ensure data accuracy and usability
    Optimize data structures for reporting performance
    Cloud & Modern Data Platforms
    Develop and maintain solutions in Snowflake cloud data warehouse
    Implement best practices for cloud data architecture, cost optimization, and performance
    Work with NoSQL technologies (MongoDB) for semi-structured and unstructured data use cases
    Development & Automation
    Write efficient, reusable, and scalable code using Python and SQL
    Automate data workflows, monitoring, and alerting
    Implement CI/CD practices for data pipelines and database deployments
    Data Governance & Quality
    Ensure data quality, consistency, and security across platforms
    Implement data validation, cleansing, and lineage tracking
    Adhere to corporate data governance and compliance standards

    Required Qualifications
    Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) and 7+ years of experience in data engineering and database administration
    Technical Skills
    Strong expertise in:
    Oracle Database (Application DBA experience required)
    Informatica (ETL development)
    Data Warehousing concepts and architecture
    Hands-on experience with:
    Snowflake
    Oracle Analytics Server (reporting and integration)
    Python
    SQL (advanced querying and performance tuning)
    NoSQL databases (MongoDB preferred)

    Preferred Qualifications
    Experience with cloud platforms (Azure, AWS, or GCP)
    Familiarity with modern data stack tools (dbt, Airflow, etc.)
    Knowledge of DevOps and CI/CD pipelines
    Experience supporting high-volume transactional systems (OLTP)
    Exposure to data governance and security frameworks
    Key Competencies
    Strong analytical and problem-solving skills
    Ability to balance development and operational DBA responsibilities
    Excellent communication and stakeholder collaboration
    Detail-oriented with a focus on performance and reliability
    Proactive in identifying and resolving system bottlenecks

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