Sr. Data Engineer

Accord Technologies Inc; Alpharetta (GA); On-site; USD 110,000 - 140,000; Part time

Job summary

A leading technology firm in Alpharetta, GA is seeking an experienced Sr. Data Engineer to solve complex engineering problems and lead system designs. The ideal candidate will have over 10 years in data-focused roles and a strong proficiency in database development, SQL, and ETL processes using tools like Tableau and Informatica. An understanding of Agile methodologies and excellent collaboration skills are essential. This is a W2 contract position, requiring face-to-face interactions.

Qualifications

• 10 years of experience in data-focused roles.
• Strong proficiency in developing and maintaining database objects.
• Hands-on expertise with enterprise database platforms.
• Solid ETL and BI experience including relevant tools.
• Proven delivery experience in Agile environments.

Responsibilities

• Solve complex engineering problems and lead system design.
• Define engineering guidelines and perform code reviews.
• Collaborate with teams globally in Agile methodologies.
• Contribute in sprint grooming and Agile ceremonies.
• Work with various stakeholders across regions.

Skills

Data engineering and automation

Strong Python skills

Excellent communication skills

Proficiency with Git

Strong ETL and BI experience

Experience in Agile methodologies

Database design and development

Hands-on experience with Snowflake

Tools

SQL Server

Tableau

Informatica

Power BI

DB2

Oracle

Teradata

Job description

Sr. Data Engineer

Alpharetta, GA (Face to face required)

Position type: W2 contract

Job Functions/Duties and Responsibilities

• Solve complex engineering problems and lead system design and development activities.
• Understand business processes, a bigger picture and core ideas behind the developed software.
• Define engineering guidelines and quality control pipeline; perform code reviews.
• Advocate and advance toward cutting edge engineering practices.
• Working in the Agile development methodologies, collaborating with business and technology teams located globally.
• Actively contribute and participate in sprint grooming and planning discussions, daily stand-ups, and Agile ceremonies
• Work with various teams and stakeholders across geography and time zones.

Skills Required

• 10 years of experience in data-focused roles.
• Strong proficiency in developing and maintaining database objects, including stored procedures and functions.
• Demonstrated experience in database design and development, advanced SQL/PL/SQL, and performance tuning (SQL Server preferred).
• Hands-on expertise with enterprise database platforms such as DB2, SQL Server, Oracle, and/or Teradata.
• Solid ETL and BI experience, including tools such as Informatica and Tableau or Power BI.
• Excellent communication skills with the ability to partner effectively with both business users and IT teams across regions, and to lead delivery of IT outcomes.
• Proven ability to collaborate with stakeholders and partners across geographies and time zones.
• Strong growth mindset with a track record of personal excellence, collaboration, and continuous improvement.
• Understanding of large-scale enterprise application requirements, including security controls, entitlements, and related governance considerations.
• Experience working within Agile delivery methodologies (e.g., Scrum/Kanban).
• Proficiency with Git and modern source control/development workflows (e.g., branching, code reviews, CI-friendly practices).
• Strong computer science fundamentals, including scalable, resilient system design and sound engineering principles.
• Hands-on experience building and maintaining BI dashboards using Tableau and/or Power BI.
• Experience working with the Snowflake data platform (e.g., data modeling, performance considerations, and best practices).
• Proven delivery experience in Agile environments (e.g., Scrum/Kanban), including iterative development and stakeholder collaboration.
• Strong Python skills applied to data use cases, including:
• Data engineering and automation (data extraction/transformation, process automation, database/API integrations; e.g., pandas, SQLAlchemy)
• Analytics and reporting (data analysis, reusable workflows; e.g., pandas, NumPy)
• ETL pipeline support (orchestration support, reusable utilities, and data quality validation/checks)
• Working knowledge of database fundamentals, covering both relational and NoSQL technologies.
• Basic familiarity with DevOps concepts and practices (e.g., CI/CD fundamentals, environment management, and deployment hygiene).