Senior Data Infra Engineer

NewsBreak; Mountain View (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health, dental, and vision care

401(K) plan with company matching

Paid time off and paid holidays

FSA, HSA and commuter benefits

Team activity budget

Job summary

NewsBreak in Mountain View, California is seeking a Senior Engineer to build and scale data pipelines crucial for our platform's performance. Your role will involve designing Kafka pipelines and optimizing Spark jobs, ensuring high data quality and performance standards.

With over 5 years of data engineering experience preferred, you should be proficient in Spark, Kafka, and AWS. Competitive benefits including health coverage and a top-tier 401(K) plan are offered.

Qualifications

• 5+ years of data engineering experience, preferably with production pipelines.
• Strong hands-on experience with Spark and Kafka in a production setting.
• Experience with big-data technologies and AWS services.

Responsibilities

• Design and operate Kafka pipelines for user events.
• Author and optimize Spark jobs for data processing.
• Drive data quality checks and monitor pipeline performance.

Skills

Data engineering experience

Spark

Kafka

Python

SQL

Education

BS or MS in Computer Science or equivalent

Tools

AWS

Hadoop

Presto/Trino

Flink

Job description

Mountain View, California, United States

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about

About the Role

NewsBreak reaches tens of millions of users every day. Every feed ranking decision, every recommendation, every A/B test, and every ML model we ship runs on the data infrastructure you'd own. We're looking for a senior engineer to build and scale the batch and streaming pipelines at the core of that platform — someone who takes end-to-end ownership, drives reliability, and can translate ambiguous business needs into production-grade data systems.

Responsibilities

• Own the streaming data backbone — design and operate high-throughput Kafka pipelines carrying user events (clicks, reads, impressions, shares) from mobile clients through to downstream consumers: the data warehouse and real-time analytics.
• Build and maintain batch pipelines at scale — author and optimize Spark jobs processing billions of rows daily: content ingestion, engagement aggregation, and user-level feature computation. Own pipeline reliability, incremental backfill strategies, and cost per TB processed.
• Drive pipeline observability — instrument data quality checks, freshness monitors, and anomaly alerts so issues are caught before they reach dashboards. Define SLOs for data freshness and completeness, and own them.
• Model structured and unstructured data — design data models that serve analytics and product use cases. Act as the data POC across teams and be the person who pushes back when a schema decision will hurt us six months later.
• Partner with data scientists and platform engineers — understand data needs across teams and drive key data infrastructure decisions. Unblock downstream teams without becoming a ticket queue.
• Improve efficiency — reduce compute costs and job latency through query optimization, smarter partitioning, better resource scheduling, and tiered storage strategies.
• Raise the platform bar — contribute to shared infrastructure: pipeline framework standards, orchestration patterns (Airflow), reusable Spark libraries, and data catalog hygiene. Mentor junior engineers on the team.

Requirements

• 5+ years of data engineering experience, with at least 3 years owning production pipelines in a distributed data environment.
• Strong hands-on experience with Spark and Kafka at scale — you've debugged a production incident in both, not just run tutorials.
• Experience with big-data technologies including Hadoop, Presto/Trino, and Flink.
• Proficiency in Python and SQL; Scala a plus.
• Experience working in a cloud environment, preferably AWS (S3, EMR, Glue, Redshift).
• Track record of improving efficiency, scalability, and stability of data systems — with measurable results.
• BS or MS in Computer Science or equivalent.
• Strong communication skills; comfortable driving data infrastructure decisions across application and platform teams.

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget

The US base salary range for this full‑time position is listed below. Pay may vary based on a number of factors including job‑related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.