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About the Role
As a Senior Data Engineer, you will build solutions that integrate open-source software with our client's internal ecosystem. You will drive the development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.
This is a challenging engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on the cloud, with the remainder being spent on tuning and debugging the codebase, supporting production applications, and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platforms, with the ability to independently learn new technologies and contribute to the success of various initiatives.
Responsibilities:
- Build and Optimize Data Pipelines: Analyze and organize raw data from various internal and external sources. Design, develop, and manage scalable, high-performance and resilient data pipelines that process, transform, and make data accessible for real-time analytics and reporting.
- Data Infrastructure Development: Design, build, and maintain data infrastructure to ensure data is reliable, accessible, and secure for various applications and stakeholders. Implement lake-house architecture.
- Data Integration: Analyze business use case, perform data profiling and implement data transformations required for curating raw data into AI/ML and BI ready data.
- Streaming & Batch Processing: Build streaming and batch data pipelines that are reusable, fault-tolerant and scalable.
- Data Quality & Governance: Implement data integrity validations and data quality checks for ensuring accuracy, consistency, and completeness across all datasets.
- Collaboration & Cross-Functional Partnerships: Collaborate with platform engineers, data analysts, platform engineers and business stakeholders to define and implement data requirements and deliver end-to-end solutions.
- Data Warehouse Design: Design, implement, and optimize data lake, data warehouse and data mart to meet analytics and reporting needs.
- Innovation & Automation: Identify opportunities to automate data workflows, streamline processes, and introduce best-in-class tools and frameworks that enhance productivity and efficiency.
- Performance Tuning: Continuously monitor and tune data pipelines and infrastructure for optimal performance, scalability, and cost-efficiency.
About You
The essentials:
- Experience: 10 or more years of experience building and maintaining enterprise-level data applications on distributed systems at scale.
- Programming Skills: Expert proficiency in SQL, Python or similar language for data processing and automation. Experience building semantic processes for distributed data applications.
- Data Pipeline: Experience in building scalable and resilient ELT data pipelines using modern ELT tools like DBT, Azure, Airflow, Fivetran or similar. Knowledge of streaming platforms like Kafka, Spark or similar.
- Data Lake & Warehouse: Experience with cloud-based data platforms like Snowflake. Advanced proficiency with SQL, writing complex queries and optimizing performance. Familiar with dimensional and party data models.
- Data Governance: Knowledge of data governance practices, including RBAC, RLS, data masking, data lineage and compliance with regulatory standards (e.g., GDPR, HIPAA). Experience with data governance tools such as Datahub or Collibra.
- Automation & DevOps: Expertise in CI/CD pipelines with tools such as GitHub Actions, Jenkins, or AWS CodePipeline and containerization (Docker, Kubernetes) to automate and manage data infrastructure. Experience in implementing observability using tools such as Prometheus, Grafana, and AWS CloudWatch. Automated testing frameworks (e.g., JUnit, PyTest).
- Agile Methodologies: Experience working in an agile pod or scrum team with the ability to iterate and deliver rapidly.
Not a must, but a plus:
- Machine Learning: Hands on experience with ML infrastructure, frameworks like PyTorch and TensorFlow, Jupyter notebooks
- Data Visualization: Experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker.
At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
What We Offer
.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting. .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.
Austin salary range
$120.000 — $140.000 USD
What We Offer
Benefits
- Excellent, full coverage medical, dental, and vision insurance with employer-paid HRA
- Generous PTO and 15 company-wide holidays
- 401k with company contribution
- Paid parental leave
- Work-life balance with an emphasis on personal well-being
- Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
- A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
- Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!)
Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.
Salary Range$120,000—$140,000 USD
About Monks
Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.
Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.
