As a Data Engineer, you will be responsible for implementing, and maintaining robust data infrastructure and pipelines to support our data acquisition, management and reporting initiatives. This role will also collaborate with cross-functional teams to develop and deploy scalable data pipelines.

 

The value you will deliver…

  • Implement scalable and efficient data infrastructure, including data ingestion, data storage, and processing data pipelines, for all company data, including but not limited to customer data, product data, financial data, and operational data.
  • Maintain data governance policies, ensuring data quality, security, and compliance with relevant regulations. Implement master data management to create a uniform and a standard set of attributes for core entities across the organization.
  • Collaborate with cross-functional teams to identify and address data-related challenges, provide actionable business and analytical insights, and contribute to data-driven decision-making processes.
  • Monitor and alert on Data Quality into and within the EDW.
  • Collaborate with business stakeholders, and software engineers to understand business requirements and translate them into technical solutions.
  • Implement ETL processes to load data from a variety of sources into the data warehouse.
  • Participate in the evaluation and selection of appropriate technologies, tools, and frameworks for real-time and batch data processing, storage, and analysis, ensuring scalability and performance.
  • Stay up-to-date with the latest advancements in data engineering and assess their potential impact on our systems and processes, and recommend ways to improve the company’s data infrastructure and efficiency
  • Drive continuous improvement initiatives, identify bottlenecks, and implement optimizations to enhance the efficiency and reliability of data pipelines and machine learning models and workflows.
  • Ensure that tasks are completed efficiently and effectively.
  • Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.

 

What you will bring to the table…

  • 3+ years of experience in data engineering, including implementing large-scale data infrastructure and Extract, Load, and Transform (ELT)  pipelines.
  • 3+ years of proficiency in programming languages such as Python and experience with related frameworks and libraries (e.g., Apache Spark, Pandas, Apache Airflow)
  • 2+ years proficiency in SQL and experience in optimizing and tuning queries on data warehouse and relational databases, including Postgres and/or Oracle.
  • 2+ years of experience with cloud platforms and expertise with their data services and tools.
  • Experience working in an agile environment and familiarity with Kanban and/or Scrum methodologies.
  • Ability to clearly demonstrate effective business communication skills verbally and in writing to both internal and (external) stakeholders.

 

You will stand out if you also have…

  • Experience with AWS data services and tools.
  • Knowledge of CI/CD pipelines as applied to Data Engineering.
  • Experience solving problems across multiple business domains like finance, marketing and sales etc.
  • Experience in large scale implementations.
  • Knowledge of data warehousing, data and dimensional modeling.

 

Additional details…

  • Location requirements: Fully remote within the U.S. (Los Angeles, Las Vegas or Braintree, Massachusetts preferred.)
  • Travel requirements: Up to 10% travel.
  • Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.
  • Technology requirements: Reliable, high speed internet.
  • Eligible for sponsorship: No

 

The salary range for this role is up to $105,000 USD.  The total compensation package for this position is negotiable and may also include [annual performance bonus, ESPP, enhanced time off packages and benefits.]

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