Snr Data Engineer

Posted 10 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Cloud • HR Tech • Information Technology
The Role
Design, build, and maintain high-volume ETL/ELT pipelines across Hadoop and AWS using Spark/PySpark, Scala, Glue, EMR, Step Functions and orchestration tools. Optimize performance, enforce data governance, support incidents, collaborate with stakeholders, and mentor junior engineers.
Summary Generated by Built In

Our Story

At Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and promise that our clients expect. We are passionate about connecting purpose with impact.  Alight empowers clients to build a healthier and more financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, navigation, and absence management.

Our Benefits

With a comprehensive total rewards package, Alight offers programs and plans that support your mind, body, wallet, and life. Benefits include health, starting Day One. Additionally, Alight colleagues enjoy wellbeing programs, retirement plans, and career growth opportunities – all within a thriving global organization.

Great Place to Work

Thanks to the work of every colleague, Alight has received multiple awards of recognition including “Great Place to Work” for the past 7 years and Fortune’s “Best Companies to Work For.” To learn more about our company culture and awards Click Here.

We invite you to join our team!  Learn more at careers.alight.com

JD – Snr Software Engineer (ETL)

Experience & Expectations :

  • Leverage extensive experience (4 to 8 years overall ETL experience, to assist in solution design and delivery along with build of new ETLs).
  • We are seeking an experienced ETL Developer with strong expertise in Big Data (Spark, Cloudera).
  • Experience orchestrating workflows using AWS Step Functions (state machines) for reliable and scalable data pipelines.
  • Ability to implement end-to-end serverless data architectures integrating Glue, Lambda, S3, and Redshift

Core Responsibilities :

  • Build and maintain high volume ETL/ELT pipelines across Hadoop (HDFS, Hive, Spark, Kafka) and AWS (Glue, EMR, Lambda, Step Functions, Redshift).
  • Develop distributed data processing solutions using PySpark, Spark SQL, and scalable cloud serverless patterns.
  • Implement reusable data ingestion frameworks for batch, ability to design & implement Orchestration process and Leverage AI
  • Optimize data workflows using partitioning, bucketing, compression, file formats (Parquet/ORC).
  • Understanding hybrid data lake architectures using S3 + HDFS, ensuring data governance and best practices are adheres
  • Experience to deliver complex projects in an Agile environment
  • Assist in Design and build the robust, scalable and secure software solutions across the having no/least adoption
  • Define clear technical specifications and make architecture decisions that align with business goals and long-term scalability.
  • Implement best practices (including secure code guidelines) through the implementation of unit tests, automation, leverage and code reviews. Drive continuous improvement in code quality and maintainability.
  • Troubleshooting issues and proactively solving problems as they arise, ensuring the smooth operation of full stack applications
  • Ability to understand the data flow diagram, data modelling and Lineages
  • Job orchestration using Airflow, Control M, Step Functions, or event-driven triggers.
  • Ensure data is protected and compliant with regulatory standards.
  • Work closely with business stakeholders to enable high quality datasets.
  • Work on best practice adoption and provide guidance to peers/juniors in team.
  • Ability to respond on incidents, and troubleshooting Spark performance issues, job failures, and cluster bottlenecks.
  • Collaborate closely with team members, QA and cross product teams to streamline release processes.
  • Collaborate with business stakeholders to gather, analyse, and translate data into technical solutions

Technical Skills :

  • Strong experience with the AWS data stack (S3, Glue, EMR, Lambda, Kinesis, Redshift, Step Functions etc.,).
  • Strong hands-on expertise in Scala, PySpark, Spark optimization techniques, HiveQL, and distributed computing.
  • Good understanding of Hadoop ecosystem (HDFS, Hive, Spark, YARN, Kafka).
  • Good work experience in SQL in hive and impala
  • Proficiency in at least one scripting/programming language: Python, Shell scripting.
  • Strong experience with CI/CD, GitHub, Git commands.
  • Expertise in ETL and Data Warehousing and cloud concepts.
  • Good understanding of data modelling (star/snowflake), partitioning strategies, and schema evolution.
  • Expertise in data profiling and decision making.
  • Able to understand, design and create data flow diagrams.
  • Able to understand the architecture and design end-to-end data flow.
  • Hands-on experience with Airflow, or Control‑M, or other orchestrators.
  • To monitor and support BAU and year end activities, if needed.
  • Exposure to security and compliance aspects in Cloud.
  • Familiarity with serverless patterns and containerization (Docker, ECS/EKS).

Other Requirements

  • Strong logical and analytical, problem-solving, and communication skills.
  • Communicate effectively and concisely with multiple stakeholders and coordinate and collaborate with cross functional teams.
  • AWS certifications (Data Engineer, or Developer) are a plus.

Detail-Oriented and proactive in problem-solving and issue resolution

Application and Interview

By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: Government ID validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position.

Alight requires all virtual interviews to be conducted on video.  Please be aware that Alight is a camera-on culture and may require occasional travel to one of our physical office locations.

Our commitment to Inclusion

We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful.

At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future.

As part of this commitment, Alight will ensure that persons with disabilities are provided with reasonable accommodation for the hiring process. If reasonable accommodation is needed, please contact [email protected].

Equal Opportunity Policy Statement

Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state, or local law.   In addition, we take affirmative action to employ disabled persons, disabled veterans, and other covered veterans.

Alight provides reasonable accommodation to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request reasonable accommodations/modifications by contacting their recruiter.

Authorization to work in the Employing Country

Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not, now or in the future, require sponsorship of a visa for employment authorization in the Employing Country and with Alight.

Note, this job description does not restrict management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
 


DISCLAIMER:


Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.

.

Skills Required

  • 4 to 8 years overall ETL/Big Data experience
  • Strong experience with Spark and Cloudera (PySpark, Spark SQL) and Spark optimization techniques
  • Experience orchestrating workflows using AWS Step Functions
  • Ability to implement end-to-end serverless data architectures integrating Glue, Lambda, S3, and Redshift
  • Hands-on experience across Hadoop ecosystem (HDFS, Hive, YARN, Kafka) and EMR
  • Proficiency in Scala and PySpark
  • Strong SQL skills in Hive and Impala
  • Proficiency in Python and Shell scripting
  • Experience with CI/CD practices and GitHub/Git
  • Experience with ETL, data warehousing, and data modelling (star/snowflake)
  • Hands-on experience with Airflow or Control-M (or other orchestrators)
  • Experience implementing data partitioning, bucketing, compression and using Parquet/ORC
  • Experience delivering complex projects in an Agile environment
  • Exposure to security and compliance aspects in cloud environments
  • Familiarity with containerization (Docker) and container orchestration (ECS/EKS)
  • AWS certifications (Data Engineer or Developer)

Alight Solutions Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Alight Solutions and has not been reviewed or approved by Alight Solutions.

  • Leave & Time Off Breadth Leave offerings are described as generous, including multiple vacation weeks alongside wellness days, floating holidays, and paid holidays. Time-off flexibility is frequently positioned as a meaningful part of the overall rewards package.
  • Retirement Support Retirement benefits are framed as a notable strength, anchored by a 401(k) match structure and an additional retirement account contribution once eligible. Day-one participation and the employer contribution design are presented as differentiators versus many entry-level packages.
  • Wellbeing & Lifestyle Benefits Wellbeing perks are positioned as a real addition to total rewards, including dedicated wellness days and mental health support such as premium access to Calm. Remote-work enablement is also reinforced through company-provided equipment, which reduces out-of-pocket setup costs.

Alight Solutions Insights

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The Company
HQ: Chicago, IL
11,899 Employees
Year Founded: 2017

What We Do

Alight is a leading cloud-based human capital technology and services provider that powers confident health, wealth and wellbeing decisions for 36 million people and dependents. Our Alight Worklife® platform combines data and analytics with a simple, seamless user experience. Supported by our global delivery capabilities, Alight Worklife is transforming the employee experience for people around the world. With personalized, data-driven health, wealth, pay and wellbeing insights, Alight brings people the security of better outcomes and peace of mind throughout life’s big moments and most important decisions. Learn how Alight unlocks growth for organizations of all sizes at alight.com.

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