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 education: Bachelors

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

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

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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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

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