Data Engineer

Job Summary

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)

Location

Merrimack, New Hampshire

Job Type

Contract

Salary

$73 - 74 per hour

Work Hours

8am to 5pm

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

Responsibilities

• Application DBA: Administer, monitor, and tune Oracle databases supporting critical applications; Manage database performance; Perform database maintenance activities; Ensure high availability, disaster recovery, and data integrity; Support application teams in database design and troubleshooting.
• Data Engineering & Architecture: Develop and maintain data models; Build and optimize enterprise data warehouse solutions; Ensure efficient ingestion, transformation, and integration of structured and unstructured data; Design, develop, and maintain scalable data pipelines and ETL processes.
• Reporting & Analytics: 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).
• 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.

Benefits

• Medical
• Prescription
• Dental
• Vision
• AD&D
• Life Insurance
• Short-term disability
• 401K plan