TaskUs
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Anywhere · Remote · 3-5 Yrs · Sep 13
Information Technology Support Services · 10000+ Employees · New Braunfels, US
TaskUs provides next generation customer experience that powers the world's most disruptive companies through the partnership of amazing people and innovative technology. We provide Ridiculously Good strategy, business process optimization, revolutionary technology and the best talent to deliver transformational, digital scale. TaskUs has been recognized on the Inc. “5000 Fastest Growing Private Companies in America” list the past six years and The Los Angeles Business Journal’s “100 Fastest Growing Private Companies” the last four years. We're proud to be a 2019 Glassdoor Best Place to Work, IIP (Investors in People) Platinum Certified and the IIP Platinum Employer of the Year! If you’re looking for a new challenge or just want to be a part of something historic, join us. Let’s change the way the world works.
Hiring: Engineering
What employees say
+ Good employee benefit policies and work culture
− Promotion process needed the improvement
More reviews on the company profile.
Interview experience · Agent
Rounds for Selection Process: 1.Virtual HR round, 2.Ops Managerial Round , 3.Assessment, 4. Documentation , 5. Offer letter. Above are the steps to crack Agent position in TaskUs. You must be 12th passed or graduated fr
Average difficulty · Navi Mumbai · 92 reports
More interview insightsJob description
Overview
About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands.
Responsibilities
- • Transformation & Modeling: Advanced experience with dbt (Data
- Build Tool). You treat data models like software, including version control, testing, and documentation.
Benefits
- Pipeline Engineering: Build and maintain high-throughput ETL/ELT pipelines that ingest data from various sources into our Lakehouse.
- Code Quality & Tooling: Drive the adoption of dbt for transformation and PySpark for heavy lifting. You will be responsible for writing modular, reusable code that follows strict CI/CD practices.
- Observability & Reliability: Implement "Data SLAs." You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices.
- Data Productization: Work closely with the BI team and Data Scientists to prepare "feature-ready" datasets.
- Performance Tuning: Deep-dive into SQL and Spark query plans to optimize slow-running jobs, reducing cost and latency.
- Local Development Advocacy: Implementing a workflow where engineers can develop and test complex SQL transformations locally using DuckDB, drastically reducing "waiting-for-cluster" time and lowering development costs.
- Cost-Efficient Micro-Pipelines: Building specialized pipelines for specific client reporting or data-quality checks that run on single-node containers (e.g., Lambda or small ECS tasks) using DuckDB, avoiding the minimum billing cycles of larger warehouses.
- Embedded Analytics: Exploring ways to use DuckDB as an embedded engine for internal tools or "edge" processing within the BPO’s local site offices where bandwidth to the cloud might be a constraint.
- 5+ Years in Data Engineering: You’ve lived through the "on-call" life and know how to build systems that don't break at 3 AM.
- The Power Trio: Expert-level proficiency in Python, SQL, and PySpark.
- Modern Lakehouse Stack: Hands-on experience with Databricks (Delta Lake) or Snowflake. You understand the nuances of the Medallion Architecture (Bronze/Silver/Gold).
- Transformation & Modeling: Advanced experience with dbt (Data Build Tool). You treat data models like software, including version control, testing, and documentation.
- Orchestration: Experience with Apache Airflow or Prefect, specifically building complex, idempotent DAGs.
- Streaming Experience: Familiarity with Kafka, Kinesis, or Spark Streaming is a huge plus—our BPO operations move in real-time.
- Infrastructure as Code (IaC): Comfort with Terraform or CloudFormation to manage your own data infrastructure.
- In-Process Analytics (DuckDB): Proven experience using DuckDB for high-speed local development, unit testing data transformations, or as a query engine for "small-to-medium" datasets (up to 100GB) without the overhead of a distributed cluster.
- Hybrid Execution Patterns: Ability to identify when to use heavyweight compute (PySpark/Databricks) versus lightweight compute (DuckDB/Python) to minimize cloud costs and reduce job latency.
- Parquet/Iceberg Interaction: Experience using DuckDB to directly query data stored in S3/Azure Blob (via Parquet or Iceberg files) for rapid ad-hoc analysis or local dashboarding.
- Orchestration: Kubernetes (K8s). Deep understanding of Pods, Deployments, Services, ConfigMaps, and Secrets management.
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Job application FAQ
Last updated 18 September 2026
- How do I apply for Senior Data Engineer at TaskUs?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. TaskUs may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Engineer remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer role at TaskUs?
- This is a senior Senior Data Engineer role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.