About arenaflex

Welcome to arenaflex, where innovation meets imagination! We are a forward-thinking technology company that thrives on transforming complex data into actionable insights. At arenaflex, we believe that great data engineering is the backbone of modern business intelligence, and we're looking for a talented Senior Data Engineer to join our dynamic team.

Our organization is committed to fostering a culture of excellence, creativity, and continuous learning. We understand that our greatest asset is our people, and we invest heavily in their professional development and well-being. As part of our team, you'll have the opportunity to work with cutting-edge technologies, collaborate with brilliant minds, and contribute to projects that make a real impact across industries.

We are currently seeking a detail-oriented and passionate Senior Data Engineer to join our Information Design group within our Data and Decision Sciences division. This is a fully remote position that offers the flexibility to work from the comfort of your home while contributing to meaningful data initiatives. If you're someone who takes pride in building robust data infrastructure and loves solving complex problems, we want to hear from you!

Position Overview

As a Senior Data Engineer at arenaflex, you will play a pivotal role in designing, building, and maintaining our enterprise-wide data infrastructure. You will be responsible for creating efficient ETL/ELT data pipelines, designing and implementing database schemas, tables, and views, and developing batch processes using modern data orchestration tools.

This role requires a strategic thinker who can collaborate effectively with cross-functional teams, including Studio teams and Project Innovation colleagues, to understand data requirements and deliver scalable solutions. You'll be working with a diverse technology stack and will have the opportunity to make a significant impact on how our organization leverages data for decision-making.

Key Responsibilities

Pipeline Development: Design, develop, and maintain robust ETL/ELT data pipelines that efficiently process large volumes of data from multiple sources to destination systems.

Database Architecture: Design and implement database schemas, tables, views, and indexes optimized for performance and scalability.

Data Orchestration: Build and manage batch processes using Apache Airflow and other workflow orchestration tools to automate data workflows.

Cloud Infrastructure: Work with cloud-based technologies, particularly AWS S3, to build and manage data lakes and data warehouses.

Collaboration: Partner with Studio and Project Innovation teams to gather data requirements, create data validation scripts, and review data quality.

Environment Management: Ensure seamless deployment across multiple environments including Development, QA/UAT, and Production.

Code Quality: Write clean, maintainable, and well-documented code using SQL, Python, and other programming languages.

Best Practices: Drive best practices in data engineering, including coding standards, code reviews, and documentation.

Performance Optimization: Monitor and optimize pipeline performance to ensure efficient data processing and minimal latency.

Technology Evaluation: Stay current with emerging technologies and evaluate new tools that can improve our data infrastructure.

Essential Qualifications

Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field.

Minimum 2+ years of professional experience in a Data Engineering role.

2+ years of experience with SQL and relational database design.

2+ years of experience designing, building, and maintaining ETL/ELT data pipelines.

2+ years of experience working with cloud platforms, preferably AWS.

2+ years of experience with cloud-based data storage solutions including data lakes, data warehouses, and application databases.

2+ years of experience using Gitlab/Github for version control and collaborative development.

2+ years of experience with containerization using Docker.

Strong proficiency in Python programming language.

Experience working with large datasets and big data technologies.

Preferred Qualifications

Master's degree in Computer Science, Mathematics, Engineering, or a related field.

Experience with Apache Airflow for workflow orchestration.

Experience with Snowflake cloud data warehouse.

Experience with Databricks for big data processing.

Experience with Looker for business intelligence and visualization.

Knowledge of streaming data technologies and real-time data processing.

Experience in media, streaming, or digital advertising industries.

Familiarity with PostgreSQL and other relational database systems.

Required Technical Skills

Programming Languages: SQL, Python

Cloud Platforms: AWS (S3, EC2, Lambda), cloud data services

Data Warehousing: Snowflake, Redshift, or similar platforms

Orchestration Tools: Apache Airflow, similar workflow tools

Containerization: Docker, Kubernetes

Version Control: Gitlab, Github

Big Data Technologies: Spark, Databricks, data lakes

Database Systems: PostgreSQL, MySQL, relational databases

Core Competencies

Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data pipeline issues efficiently.

Attention to Detail: Meticulous approach to data quality, validation, and accuracy.

Communication: Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.

Time Management: Ability to manage multiple projects and meet tight deadlines.

Initiative: Self-motivated with a proactive approach to identifying improvements and solving challenges.

Team Player: Ability to work collaboratively in a distributed team environment.

Career Growth and Learning Opportunities

At arenaflex, we are deeply invested in the professional growth and career development of our employees. As a Senior Data Engineer, you will have access to numerous opportunities to advance your career and expand your skillset.

We offer comprehensive training programs, certification sponsorship, and mentorship opportunities that will help you stay at the forefront of data engineering trends and technologies. You'll have the chance to work on challenging projects that push the boundaries of what's possible with data, while learning from some of the best minds in the industry.

Our internal mobility program allows high-performing employees to explore different roles and teams within the organization, giving you the flexibility to shape your career path according to your interests and aspirations. Whether you want to specialize further in data architecture, move into leadership roles, or explore adjacent fields like data science or machine learning, arenaflex supports your journey.

Work Environment and Culture

arenaflex embraces a remote-first work culture that gives you the freedom to work from anywhere in the United States. We believe that flexibility is key to maintaining a healthy work-life balance, and we trust our team members to deliver outstanding results regardless of their location.

Our collaborative environment fosters innovation and creativity. We hold regular virtual team meetings, knowledge-sharing sessions, and social events to keep everyone connected and engaged. We use modern communication and collaboration tools like Slack, Zoom, and Confluence to ensure seamless interaction across distributed teams.

At arenaflex, we value diversity and inclusion. We believe that diverse perspectives lead to better solutions and a more vibrant workplace. We are committed to creating an environment where everyone feels welcomed, respected, and empowered to do their best work.

Compensation and Benefits

We offer a competitive compensation package that recognizes your skills, experience, and contributions. The pay rate for this position is $30 per hour, with opportunities for overtime and performance-based bonuses.

Our comprehensive benefits package includes:

Health, dental, and vision insurance

401(k) retirement plan with company matching

Paid time off (PTO) and holidays

Remote work stipend for home office setup and internet expenses

Professional development reimbursement

Wellness programs and employee assistance

Flexible scheduling options

How to Apply

Are you ready to take the next step in your career and join a team that's passionate about data innovation? We encourage you to apply today!

To be considered for this position, please submit your updated resume and a cover letter highlighting your relevant experience and why you're excited about joining arenaflex. Our hiring team will review applications on a rolling basis and reach out to qualified candidates for further discussions.

Don't miss this incredible opportunity to work with cutting-edge technologies, grow your skills, and make a meaningful impact – all from the comfort of your home. Apply now and become part of the arenaflex family!

We look forward to welcoming you aboard!

Senior Data Engineer – ETL/ELT Pipeline Development & Cloud Data Architecture (Remote)