Reply Logo

Reply

Data Engineer 3

Posted 14 Days Ago
Hybrid
3 Locations
120K-150K
Senior level
Hybrid
3 Locations
120K-150K
Senior level
The Data Engineer 3 will develop and enhance data engineering solutions, implementing ETL workflows and collaborating with teams to leverage data assets for business decisions.
The summary above was generated by AI
Valorem Reply is an award-winning digital transformation firm focused on delivering data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace. Through the expertise of their people and power of Microsoft technologies, they provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Their innovative strategies and solutions securely and rapidly transform the way their clients do business.   

As a Data Engineer 3, you will develop, enhance, and sustain innovative data engineering solutions to improve the customer’s data experience. In this role, you will also review designs and participate in meaningful collaboration sessions on how to help customers leverage their data assets to solve complex problems and inform their business decisions. This role requires a deep understanding of data, effective communication skills, and the ability to work independently while collaborating across teams

Responsibilities

  • Implement new data engineering features in a highly collaborative work environment alongside product managers and fellow engineers across multiple disciplines
  • Help drive the design and implementation of ETL workflows across multiple disparate systems and data sources and help provide clarity across the customer’s data
  • Collaborate closely with business partners and internal customers
  • Own end-to-end operations of resilient and observable ETL workflows  
  • Share technical solutions and product ideas through team planning, design review, and technical discussions
  • Design, build and operate large-scale distributed data processing systems, data lakes, lake shore apps
  • Take the initiative on projects and help improve processes, documentation and the overall design by adopting data engineering best practices
  • Designing and working with large swaths of disparate vendor data sets, document stores, and tabular data

Minimum Requirements

  • US citizen or green card holder per client requirements
  • 5 years of experience with common data engineering languages like Python (primary language), SQL, and PySpark, applying functional design principles and common software design patterns
  • 5 years of proven experience in building and deploying complex ETL pipelines on-prem, hybrid, and cloud environments and experience with orchestrating pipelines on Airflow
  • 5 years of experience building within AWS in a production environment (ex. MWAA, Glue/EMR (Spark), S3, ECS/EKS, IAM, Lambda, etc.)
  • 5 years of experience with core statistical principles, industry-standard data modeling, data security and classification methodologies  
  • 5 years of experience in Agile software development, test-driven development, unit testing, code reviews and design documentation
  • 2 years of experience in Databricks and /or Dreamio Lakehouse platform experience
  • 2 years of experience with DevOps and CI/CD pipelines including working with Terraform or any IaC platform

Preferred Qualifications

  • Experience in Financial Industry
  • Experience with other modern programming languages like Java, C++, and C# 
  • Ability to own all stages of the development process: design, testing, implementation, operational support
  • Experience documenting complex data processing workflows and operational guides

About Reply

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.

The base compensation range for this full-time position is between $120,000 - $150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.

Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.

Top Skills

Airflow
AWS
Databricks
Ecs
Eks
Emr
Glue
Iam
Lambda
Mwaa
Pyspark
Python
S3
SQL
Terraform

Similar Jobs

2 Days Ago
In-Office
San Diego, CA, USA
101K-161K Annually
Senior level
101K-161K Annually
Senior level
Big Data • Fintech • Business Intelligence • Financial Services
The Senior Data Engineer will integrate data across systems, work on the data warehouse lifecycle, manage ETL processes, and support dashboard creation and operational applications.
Top Skills: AWSDbtGitSnowflake
8 Days Ago
In-Office
San Francisco, CA, USA
140K-160K
Senior level
140K-160K
Senior level
Fintech • Software
The Sr. Data Engineer will build and implement data infrastructure, manage data migrations, and develop analytics tools using big data and machine learning technologies.
Top Skills: AirflowAws GlueAzure Data FactoryC#Data BricksHadoopHiveJavaJavaScriptKafkaPrestoPythonScalaSpark
17 Days Ago
In-Office
San Francisco, CA, USA
180K-210K
Senior level
180K-210K
Senior level
Blockchain • Fintech • Financial Services • Cryptocurrency • Web3
The Senior Data Engineer will design and maintain scalable data pipelines, integrate external sources, and enhance blockchain reporting infrastructure.
Top Skills: BigQueryDruidKafkaMySQLNode.jsPostgresPrestoPythonSnowflakeSparkSQLTypescript

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account