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Database Automation Engineer Jobs in Lancaster, PA

Data Architect-Hybrid

Reading, PA ยท On-site

$55 - $60/hr

Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL * Databases: SQL Server ... automation, and operational best practices. * Evaluate emerging technologies and recommend ...

New

Maintain data integrity, security, and accessibility within company databases, and file-sharing ... Knowledge of API integrations, automation workflows, and data security best practices Amphenol ...

Collaborate with developers, product managers, and business analysts to clarify requirements and ... Hands-on experience with front-end test automation tools and frameworks; Playwright preferred.

Read and write SQL queries through foundational knowledge of relational databases (e.g., MySQL ... Partner with Salesforce IT developers to deliver advanced automation and agentic solutions.

Showing results 21-40

Database Automation Engineer information

See Lancaster, PA salary details

$36K

$104.1K

$158.4K

How much do database automation engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for database automation engineer in Lancaster, PA is $104,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Database Automation Engineer vs Database Administrator?

AspectDatabase Automation EngineerDatabase Administrator
Primary FocusDevelops automation scripts and tools to streamline database processesManages, maintains, and secures databases manually
Skills & CertificationsSQL, scripting, automation tools, certifications like Oracle or Microsoft SQL ServerDatabase management, backup, recovery, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentOften works in DevOps, software development, or IT automation teamsTypically in IT operations, data management teams

While both roles require strong SQL knowledge and certifications, the Database Automation Engineer focuses on creating automated solutions to improve database efficiency, whereas the Database Administrator handles the day-to-day management and security of databases. Understanding these differences helps organizations assign the right skills to optimize database performance and reliability.

What is a database automation engineer?

Database Automation Engineers are IT professionals who design, implement, and manage automated processes to streamline database operations. Their primary goal is to reduce manual intervention by leveraging scripting, tools, and technologies such as DevOps pipelines, configuration management, and monitoring solutions. They ensure databases are efficiently deployed, maintained, and monitored for performance and reliability, often collaborating with database administrators and development teams. This role requires a strong understanding of database systems, automation tools, and programming languages.

What are the key skills and qualifications needed to thrive as a database automation engineer?

To thrive as a Database Automation Engineer, you need expertise in database management, scripting languages (such as Python or PowerShell), and a solid understanding of automation processes, often supported by a degree in computer science or a related field. Familiarity with database platforms (like MySQL, SQL Server, or Oracle), automation tools (such as Ansible or Jenkins), and certifications like Microsoft Certified: Azure Database Administrator Associate are typically beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for ensuring efficient, reliable, and scalable database operations in complex, data-driven environments.

How does a database automation engineer typically collaborate with development and operations teams?

Database Automation Engineers work closely with both development and operations teams to streamline database deployment, management, and monitoring. They often design automated workflows for database provisioning, backups, and updates, ensuring that developers have reliable access to data while minimizing downtime. Collaboration includes participating in DevOps initiatives, supporting CI/CD pipelines, and troubleshooting performance issues alongside other team members. This cross-functional teamwork helps maintain database reliability and supports rapid delivery cycles.
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What cities near Lancaster, PA are hiring for Database Automation Engineer jobs? Cities near Lancaster, PA with the most Database Automation Engineer job openings:

Data Architect-Hybrid

Generis TEK Inc.

Reading, PA โ€ข On-site

$55 - $60/hr

Other

Posted 3 days ago

New


Job description

Please Contact: To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Bhupendra Chopade at email address can be reached on # .

We have Contract role Data Architect-Hybrid for client at Reading PA. Please let me know if you or any of your friends would be interested in this position.

Position Details:

Data Architect-Hybrid-Reading PA
Location : Reading, PA 19601 - Hybrid
Project Duration : 06+ months contract

Pay Rate : $55 - $60 an hour on W2


Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 10+ years of experience in data architecture, data engineering, or enterprise data platform development.
  • 5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions.
  • Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms.
  • Experience designing distributed, scalable, and high-performance data architectures.
  • Strong understanding of Agile development methodologies, CI/CD, and DevOps practices.
  • Excellent communication, stakeholder management, and leadership skills.

Preferred Technical Skills

  • Cloud & Data Platforms: AWS, Snowflake, S3, EMR, Glue, Redshift
  • Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL
  • Databases: SQL Server, PostgreSQL, Aurora, DynamoDB
  • Architecture: Data Lake/Lakehouse, Event-Driven Architecture, Microservices, REST APIs, Data Modeling
  • DevOps: Kubernetes, Docker, Git, CI/CD, Infrastructure as Code


Deliverables

  • Define and maintain enterprise data architecture, including conceptual, logical, and physical data models.
  • Design scalable cloud-based data platforms, data warehouses, and data lake solutions to support business intelligence, analytics, and AI initiatives.
  • Lead the design and implementation of data integration, ETL/ELT, streaming, and batch processing solutions.
  • Partner with business stakeholders, product managers, architects, and engineering teams to translate business requirements into scalable technical solutions.
  • Ensure data platforms are reliable, performant, secure, and highly available through monitoring, automation, and operational best practices.
  • Evaluate emerging technologies and recommend improvements to modernize the enterprise data ecosystem.
  • Collaborate with cross-functional teams to support AI/ML, advanced analytics, and enterprise reporting initiatives.

To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Bhupendra Chopade at email address can be reached on # .