Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics.
At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits.
Senior Data Engineers play a crucial role in helping our client organizations manage and leverage their data effectively. Their responsibilities include Data Architecture Design; Data Warehousing; Data Quality Assurance; Scalability and Performance Optimization; and Data Security. As senior-level individual contributors, SDEs are also responsible for recommending and implementing data engineering tools and technologies that best suit the client’s needs. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing.
- Data Engineering Leadership: You are responsible for bridging technical gaps to lead and oversee various data engineering projects for our data solutions engagements. You possess advanced data engineering knowledge and expertise, and your assignments, projects, and programs are of significant scope and/or complexity where effective decision-making requires navigating ambiguous or uncertain conditions.
- Cross-Team Collaboration: You are responsible for contributing to alignment across the organization through influence and by translating context across different teams. You have a strong, foundational understanding of other Data Team functions, while also being able to translate these concepts for less technical colleagues.
- Project Enablement: You are responsible for ensuring that large and/or more complex engineering projects are delivered in alignment with the appropriate business outcomes. As a senior+ member of the Data Engineering function, you serve as a mentor to data solutions team members, data engineering managers, and other data engineers, and may be embedded on a client team to unblock and upskill them.
- Programming languages (e.g. SQL, Python)
- Data Processing (e.g. Apache Spark, dbt)
- Cloud-based data warehouses (e.g., Snowflake, Google BigQuery)
- Data orchestration (e.g., Apache Airflow, Azure Data Factory, Prefect)
- Data Movement. Optimizes data pipelines to achieve low latency, ensuring timely processing and delivery of data. Can design and implement real-time and /or micro-batch data processing solutions that handle high-volume data with low latency requirements.
- Data Warehousing. Acts as an internal resource for data warehousing, providing help with advanced techniques and strategies for novel scenarios.
- Programming. Has an authoritative or deep holistic understanding, deals with routine matters intuitively, able to go beyond existing interpretations, achieves excellence with ease.
- Technical Management: Is able to be a technical leader across a set of related team's domains, consistently pushing boundaries and exploring gaps in understanding.
- Data Infrastructure: You can design, build, and maintain the underlying data infrastructure for a complex, large-scale system that integrates with multiple disparate data sources.
Bonus points for:
- Data Modeling and Transformation: Comfortable with modeling and transforming extremely large and complex datasets in a performant and cost-efficient manner.
- MLOps: Understands and can execute the steps required to deploy a trained model into a production environment for offline or online scoring.
- Proven experience as a Data Engineer or related role, with a focus on designing and developing data pipelines.
- Strong programming skills in Python and SQL. Experience with Scala and Rust is a plus but not required.
- Deep knowledge of data warehousing and ETL/ELT processes.
- Intermediate / expert proficiency with common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow)
- Deep experience with at least one cloud data warehouse (Snowflake, BigQuery, Databricks, or similar).
- Experience with streaming solutions such as Spark Streaming, Kafka, or Flink is desirable but not required.
- Strong experience with at least one cloud platform such as AWS, Azure, or Google Cloud.
- Familiarity with machine learning operations (MLOps) techniques and platforms is a plus but not required.
- Experience mentoring and advising other engineers
- Ability to define, explain, and sell long-term vision for technical architecture, technical approaches / procedures, etc.
- Excellent communication and collaboration skills.
- Frequent sitting at a desk performing work on a computer
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.
- Take the Long View - Ensure the company is built to last
- Be Courageous - Make the right decisions even when they aren't the easiest decisions
- Be Genuine - Bring honesty and authenticity to all that you do
- Work with Focus + Passion - Display purpose and pride in your work and never stop learning
As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure.
At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.
Skills Required
- Proven experience as a Data Engineer or in a related role, focused on designing and developing data pipelines
- Strong programming skills in Python and SQL
- Deep knowledge of data warehousing and ETL/ELT processes
- Intermediate or expert proficiency with data integration or orchestration platforms such as Fivetran, Azure Data Factory, or Apache Airflow
- Deep experience with at least one cloud data warehouse, such as Snowflake, BigQuery, or Databricks
- Strong experience with at least one cloud platform, such as AWS, Azure, or Google Cloud
- Experience mentoring and advising other engineers
- Ability to define, explain, and sell long-term technical architecture visions and approaches
- Excellent communication and collaboration skills
- Professional proficiency in English, verbally and in writing
- Experience with Scala and Rust
- Experience with streaming solutions such as Spark Streaming, Kafka, or Flink
- Familiarity with MLOps techniques and platforms
What We Do
We are a data-driven experience agency that helps organizations connect with audiences through innovative, personalized digital strategies. By leading with data and integrating insights into every project, we create engaging user experiences that drive measurable results around reach, conversions, engagement and loyalty. Central to this is Brooklyn Data, our dedicated data studio, which transforms complex data into actionable strategies. Together, Velir and Brooklyn Data deliver a unified approach to data and digital excellence, empowering clients to achieve transformative growth.
