Data Engineer II

Socket.dev; Towson (MD); On-site; USD 90,000 - 120,000; Full time

Job summary

Socket.dev is seeking a Data Engineer II to design, build, and maintain the bank's data infrastructure, enabling robust data solutions for analytics and reporting. You will collaborate with data scientists, analysts, and stakeholders to ensure data quality and secure data flows.

The role emphasizes ETL optimization, data modeling, and cloud data services, with a focus on scalable architectures and reliable data delivery in a banking-informed environment.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field (Master's preferred).
• Proven experience as a Data Engineer or similar role, preferably in banking/financial industry.
• Strong knowledge of data engineering concepts, techniques, and best practices.
• Proficiency in SQL and experience with relational databases (Oracle, SQL Server, MySQL).
• Experience with Python, Java, or Scala.
• Solid understanding of ETL processes, data integration, and data transformation.

Responsibilities

• Design, build, and maintain data infrastructure, including pipelines, databases, and warehouses.
• Develop and optimize ETL processes to move data efficiently.
• Collaborate with data scientists, analysts, and stakeholders to support analytics.
• Implement data governance policies and ensure data quality and security.
• Perform data modeling and database design to support integration and storage.
• Monitor and optimize data engineering systems for performance and reliability.
• Collaborate with IT to integrate data solutions with existing infra.
• Stay updated with industry trends and best practices.

Skills

SQL

Python

Java

Scala

ETL

Data modeling

Data warehousing

Cloud platforms

Hadoop/Spark

Data governance

Communication

Problem solving

Education

Bachelor's degree in CS/IS or related field

Master's degree is a plus

Tools

Oracle

SQL Server

MySQL

AWS

Azure

Google Cloud

S3

Redshift

BigQuery

Job description

Position Summary:

The Data Engineer II will be responsible for designing, building, and maintaining the bank's data infrastructure and systems. This role involves working with cross-functional teams to ensure efficient data integration, transformation, and storage. The Data Engineer II will collaborate closely with data scientists, analysts, and stakeholders to develop robust data solutions that support the bank’s data-driven initiatives.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field. A master's degree is a plus.
• Proven experience as a Data Engineer or similar role, preferably in the banking or financial industry.
• Strong knowledge of data engineering concepts, techniques, and best practices.
• Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, MySQL).
• Experience with programming languages such as Python, Java, or Scala.
• Solid understanding of ETL processes, data integration, and data transformation.
• Experience in designing and implementing data warehouses, data lakes, or similar data storage solutions.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including relevant data services (e.g., S3, Redshift, BigQuery).
• Knowledge of data governance, data quality, and data security practices.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Proficiency in data modeling and database design principles.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to manage multiple tasks and work in a fast-paced environment.

Core Competencies:

Career Development: Proactively prepares and actively participates in ongoing, candid, constructive monthly Coaching sessions with supervisor. Seeks advancement into challenging and developmental roles and assignments. Sets and meets clear, measurable goals.

Communicates Effectively: Demonstrates the ability to effectively communicate with all employees and clients, regardless of level. Communicates clearly, concisely, with candor and confidence. Writes, speaks and listens to disseminate and receive information effectively and accurately. Seeks to understand the viewpoints of others. Keeps others informed in a timely manner.

Focuses on the Client: Anticipates and identifies internal and external client needs. Takes action to meet and, where possible, exceed client expectations. Plans and organizes work effectively to facilitate responsiveness to client and meet deadlines.

Judgment: Demonstrates sound reasoning and well-balanced thinking. Balances the need for action with the need for analysis. Incorporates strategic thinking skills into practice by examining facts. Shows an ability to problem solve complex issues. Probes beyond symptoms to determine the underlying cause. Learns from and accepts responsibility from mistakes.

Teamwork: Demonstrates the ability to enhance the department and Orrstown Banks development through participation. Holds self and others accountable for exceeding departmental and corporate goals. Develops strong working relationships throughout the organization. Appropriately voices opinions, even if they are contrary to the consensus of the team. Initiates and develops positive working relationships with others in a way that builds bridges across boundaries and breaks down silos. Relates to others in an open and accepting manner that creates trust, respect and a collaborative environment.

Essential Duties:

• Design, build, and maintain the bank’s data infrastructure, including data pipelines, databases, and data warehouses.
• Develop and optimize ETL processes to efficiently extract, transform, and load data from various sources into the bank’s data storage systems.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and develop scalable data solutions that support analytics and reporting needs.
• Implement data governance policies and ensure data quality, consistency, and security throughout the data lifecycle.
• Perform data modeling and database design activities to support data integration, storage, and retrieval.
• Monitor and optimize data engineering systems and processes for performance, scalability, and reliability.
• Collaborate with IT teams to ensure seamless integration of data engineering solutions with existing infrastructure and applications.
• Stay updated with industry trends, emerging technologies, and best practices in data engineering.
• Mentor and provide guidance to junior data engineers, promoting knowledge sharing and professional development within the team.Document data engineering processes, workflows, configurations, and system architectures.

Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle or feel, reach with hands and arms, and talk or hear. The employee is frequently required to stand and walk. The employee may occasionally lift and/or move up to 10 pounds. Ability to reach destinations within the Orrstown footprint at all times is required. Ability to work and report to the employer’s physical work location(s).

Work Environment: Work is performed in an office setting with little to moderate exposure to noise, heat, dust or other adverse factors. Working extended hours may be required as needed. The noise level in the work environment is usually quiet.