Sr. Software Engineer/Data Platform Engineer

儲; Lincoln (NE); On-site; USD 80,000 - 120,000; Full time

Job summary

A forward-thinking company is seeking a skilled data engineer to join their Data Platform team. In this dynamic role, you will build and maintain cloud infrastructure and data pipelines that support innovative machine-learning products. Collaborating with engineering and data science teams, you will contribute to projects in Fraud Prevention, Digital Banking, and Business Intelligence. This position offers a hybrid work environment, flexible time off, and a commitment to employee development and community engagement. If you're passionate about data and technology, this is an exciting opportunity to make a meaningful impact.

Benefits

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring Programs

Health & Wellness Benefits

Generous Paid Parental Leave

Community Volunteering Programs

Employee Peer Recognition Programs

Qualifications

• 5+ years of experience in data transformation and orchestration.
• Strong knowledge of SQL, NoSQL, and cloud data platforms.

Responsibilities

• Build and maintain cloud infrastructure and data pipelines.
• Monitor and optimize data pipelines for performance.

Skills

Data Transformation

Data Orchestration

Data Pipelines

SQL

NoSQL

Software Engineering

Distributed Systems Architecture

Education

Bachelor's degree in Computer Science

Advanced degree in related field

Tools

Apache Airflow

dbt

Kafka

Snowflake

SQL Server

Postgres

DynamoDB

Python

C#

Golang

Bash

GitLab

Azure DevOps

Terraform

Argo CD

Kubernetes

Docker

Pyspark

Snowpark

AWS Glue

Pandas

Databricks

SageMaker

Job description

As passionate about our people as we are about our mission.

What We’re All About :

Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients. At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live.

The Job At-A-Glance:

As part of the Data Platform team, you will build and maintain the cloud infrastructure and data pipelines needed for developing data-driven and machine-learning based products. Our team collaborates closely with other engineering and data science teams enabling products in Fraud Prevention, Digital Banking Personalization, Loan Pricing, and Self-Service Business Intelligence.

A Typical Day:

• Production Support: Start the day by reviewing the production data pipeline executions, investigating and resolving any failures.
• Development: Build and orchestrate data pipelines, defining data flow, transformations, and relationships between datasets.
• Observability: Monitor and optimize data pipelines for performance and efficiency. Spot trends and implement improvements before they become a problem.
• Collaboration: Work closely with other teams and stakeholders to understand data requirements and ensure that our data platform solutions meet business needs.

Bring Your Passion, Do What You Love. Here’s What We’re Looking For:

• A Bachelor’s degree in Computer Science, Information Systems or similar plus a minimum of 5 years of related work experience; or an advanced degree with 3+ years of experience
• Advanced knowledge of data transformations, data orchestration and pipelines, data replication
• Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage and compute platforms
• Good understanding of software engineering, distributed software design and data-centric systems architecture

• Data Movement and Pipelines: Apache Airflow, dbt, Kafka, AirByte
• Data Warehouse: Snowflake
• Databases: SQL Server, Postgres, DynamoDB
• Languages: Python, C#, Golang, Bash, SQL
• CI/CD tools and infrastructure as code deployment: GitLab, Azure DevOps, Terraform, Argo CD
• Containerization: Kubernetes, Docker
• Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

• Hybrid Work Opportunities
• Flexible Time Off
• Career Development & Mentoring Programs
• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
• Community Volunteering & Company Philanthropy Programs
• Employee Peer Recognition Programs – “You Earned it”

At Q2, our goal is to be a diverse and inclusive workforce that fosters mutual respect for our employees and the communities we serve. Q2 is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.