Talantix.io
Cognizant•27.02.26
AI SCORE 8.5

Senior Data Engineer - Remote Opportunity at Cognizant

$140K–$180K/year
RemoteIT Services
Databricks•PySpark•HDFS•MapReduce•Hive•Impala•Sqoop•Pig•Oozie•HBase•Cassandra•MongoDB•Kafka•Spark•DevOps•CI/CD

About the Role

We're hiring a Senior Data Engineer to join our dynamic team at Cognizant. This Senior Data Engineer remote position offers you the chance to work with cutting-edge technologies and contribute to innovative data solutions for our clients. You'll be part of a collaborative environment that values your expertise and encourages professional growth.

What You'll Do

  • Independently design and build/configure big data pipelines according to specifications.
  • Identify and solve complex big data problems using your strong technical skills.
  • Collaborate with senior developers to report and resolve issues during the build process.
  • Participate in defect fixes during QA and UAT phases.
  • Manage the lifecycle of code from low-level design to production and post-production support.

Requirements

  • Strong technical and analytical skills to tackle complex big data challenges.
  • Experience with the Spark software stack, including Python, Scala, or Java.
  • Hands-on knowledge of HDFS, MapReduce, Hive, Impala, Sqoop, Pig, Oozie, HBase, Cassandra, MongoDB, Kafka, and more.
  • Familiarity with CI/CD and DevOps concepts.
  • Experience working in cloud environments (Azure, AWS, GCP) using Agile methodologies.

Nice to Have

  • Experience with Apache Phoenix, Spark Streaming, and Cloudera tools.
  • Strong communication skills and ability to manage stakeholder expectations.
  • Experience in mentoring junior engineers.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities for professional development and training.
  • A supportive and diverse work environment.
  • Flexible work arrangements with a focus on work-life balance.
  • Access to cutting-edge technology and industry trends.
Why This Job8.5 of 10

This Senior Data Engineer role at Cognizant offers a unique opportunity to work remotely with cutting-edge technology in a supportive environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in building efficient data pipelines using Databricks and PySpark, demonstrating a deep understanding of big data processing frameworks and optimization techniques.

→

Self-motivated and disciplined, thriving in a remote work environment while effectively managing time and prioritizing tasks to meet project deadlines without direct supervision.

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Extensive experience with Hadoop ecosystem tools such as HDFS, Hive, and MapReduce, along with a strong problem-solving mindset to address complex data challenges and implement scalable solutions.

Learning Resources

→Databricks Documentationguide
→Big Data Analysis with PySparkcourse
→Understanding Hadoop Ecosystemarticle

Career Path

Senior Data Engineer(Now)→Lead Data Engineer(1-2 years)→Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$8.5B
Annual Growth
27.2%
AI Adoption
45%
Investment
+300%
Labour Demand
+35%
Avg Salary
$135K

Skills & Requirements

Required
DatabricksPySparkHDFS
Growing in Demand
Apache SparkMachine LearningData Lake Architecture
Declining
MapReducePig

Domain Trends

Rise of Unified Analytics Platforms
The adoption of unified analytics platforms like Databricks is increasing, with 65% of organizations planning to integrate data engineering and data science workflows by 2025.
Increased Focus on Real-Time Data Processing
Real-time data processing capabilities are becoming crucial, with a 50% increase in demand for technologies that support streaming data analytics.
Growth in Machine Learning Integration
Over 70% of data engineering teams are incorporating machine learning into their workflows, highlighting the need for engineers skilled in ML frameworks alongside traditional data engineering tools.

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