Senior Data Engineer

Inherent Technologies, Inc.; Jersey City (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

Inherent Technologies, Inc. seeks a Senior Data Engineer in Jersey City, onsite, for a 1-year engagement. You will design and implement scalable data solutions using Snowflake, Python, and Oracle PL/SQL, while leading project delivery and governance calls.

You will develop reports and dashboards, mentor the team, and engage directly with customers to translate requirements into technical solutions. Strong data engineering and leadership capabilities are required, with AI-enabled data practices a

Qualifications

• Experience with Snowflake and Python in data engineering.
• Strong Oracle PL/SQL and data modeling skills.
• Experience leading teams and delivering end-to-end projects.

Responsibilities

• Design, develop, and optimize data solutions using Snowflake, Python, and Oracle PL/SQL.
• Develop and maintain reports and dashboards to support business decisions.
• Lead end-to-end project deliverables with quality and timeliness.
• Drive governance calls and communicate status, risks, and stakeholders.
• Ensure project tasks and milestones are completed on time with high quality.
• Provide technical leadership and code/design reviews.
• Engage with customers to translate business needs into technical solutions.
• Collaborate with cross-functional teams for smooth delivery and adoption.
• Apply Generative AI concepts to enhance data engineering and analytics use cases.
• Identify opportunities for automation and process improvements.

Skills

Python

Snowflake

Oracle PL/SQL

BI reporting

Leadership

Governance

Customer interaction

Tools

DBT

BI tools

Job description

Position: Senior Data Engineer

Location: Jersey city, NJ *Onsite *

Duration: 1 Years

Job Description

We are seeking an experienced professional with strong expertise in Informatica, Snowflake, Python, Oracle PL/SQL, and reporting/BI tools to deliver scalable data solutions and lead project execution, with proven delivery experience across Capital Markets corporate functions, securities, and front-to-back-office.

Key Responsibilities

• Design, develop, and optimize data solutions using Snowflake, Python, and Oracle PL/SQL.
• Develop and maintain reports and dashboards using standard BI/reporting tools to support business decision-making.
• Lead end-to-end project deliverables, ensuring quality, timeliness, and alignment with customer requirements.
• Drive and manage weekly and monthly governance calls, including status reporting, risk management, and stakeholder communication.
• Ensure all project tasks and milestones are completed on time with high-quality standards.
• Provide technical leadership and mentorship to the team, reviewing designs and code to ensure best practices.
• Engage directly with customers to understand business needs, translate them into technical solutions, and manage ongoing interactions.
• Collaborate with cross-functional teams to ensure smooth delivery and adoption of solutions.
• Apply Generative AI concepts and tools where relevant to enhance data engineering, analytics, automation, and productivity use cases.
• Continuously identify opportunities for process improvement, automation, and innovation.

Required Skills and Experience

• Technical: Snowflake, Oracle Pl/SQL, DBT, Python, any BI reporting tool
• Strong hands-on experience with Snowflake, including data modeling, performance optimization, and cost management.
• Advanced proficiency in Python for data processing, automation, and integration.
• Solid experience in Oracle PL/SQL, including complex queries, procedures, and performance tuning.
• Experience with at least one enterprise reporting or BI tool.
• Proven leadership skills with experience leading teams and owning project delivery.
• Strong customer interaction and stakeholder management skills.
• Experience driving governance forums and executive-level status reviews.
• Exposure to Generative AI, including use cases, tools, or solution implementation, is highly desirable.
• This role requires a strong balance of technical depth, leadership capability, and customer-facing skills to successfully deliver high-impact data and analytics solutions.