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ExlService Holdings
ExlService Holdings

60 Exl Senior Software Engineer Jobs Hiring Near You

ExlService Holdings, Inc.

Sr Java Developer

New York, NY · On-site

$130K - $150K/yr

* We are looking for a Data Engineer with strong skills in Java and Spring Boot to design and build scalable data solutions for one of our client programs. * The role focuses on developing robust ...

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

Big Data Engineer Summary We are looking for an experienced Big Data Engineer with 7-10 years of ... For more information, visit www.exlservice.com. EXL never requires or asks for fees/payments or ...

ExlService Holdings, Inc.

Sr. Data Analyst

New York, NY · On-site

$120K - $135K/yr

... and engineering teams to deliver scalable solutions. -Supporting project delivery, stakeholder communication, and executive reporting. Qualifications -Experience of working on corporate banking ...

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ExlService Holdings Jobs Information

Do workers at ExlService Holdings get paid breaks?

Yes. Most people get paid breaks.
71% of people say they get paid breaks.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Does ExlService Holdings pay people when they’re sick?

Yes. Most people get paid when they’re sick.
75% of people say they would get paid if they were sick but scheduled to work.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do workers at ExlService Holdings worry about hours?

Most people don’t worry about getting enough hours.
100% of people report they don’t worry about getting enough hours.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

How easy is it to get time off at ExlService Holdings?

Most people find it easy to get time off.
67% of people report it’s easy to get time off.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and September 2025.

Do ExlService Holdings managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
88% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do jobs at ExlService Holdings spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
0% of people report that their job takes up time that they don’t get paid for.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

How easy is it to take sick days at ExlService Holdings?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings feel treated with respect by their managers?

Most people feel treated with respect by their managers.
100% of people say they’re treated with respect by their managers.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings get to take their breaks without interruption?

Most people get breaks without interruption.
86% of people report that they get to take their breaks without interruption.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Is it stressful to work at ExlService Holdings?

Some people feel stressed here.
43% of people say they often feel stressed at work.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings enjoy their jobs?

Most people enjoy their job.
86% of people report they enjoy their job.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings recommend working with their team?

Only some people recommend working with their team.
38% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people get enough training when they start at ExlService Holdings?

Some people didn’t get enough training when they started.
63% of people report they didn’t get enough training when they started working here.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people get support to advance at ExlService Holdings?

Only some people are given support to advance their career here.
In the last year, 57% of people report not being given support to advance their career here.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people think ExlService Holdings’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
100% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.

Do workers feel well informed about how ExlService Holdings is doing?

Only some people feel well informed about how the company is doing.
38% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

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Data Analytics Engineer

ExlService Holdings, Inc.

San Francisco, CA • On-site

$140K - $155K/yr

Full-time

Posted 24 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

138th of 499 rated business services

Job description


We are seeking an experienced Data Analytics Engineer to design, build, and optimize scalable data pipelines and analytics infrastructure that power critical financial products and decisions. You will work at the intersection of software engineering and data analytics - building reliable ETL/ELT pipelines, orchestrating cloud-native workflows, and enabling trusted, high-quality data for reporting, risk, and product teams. This role requires strong engineering discipline (version control, CI/CD, infrastructure-as-code) combined with deep SQL and PySpark expertise, ideally within a regulated banking or financial services environment.
Responsibilities
  • Design, build, and maintain scalable, reliable ETL/ELT data pipelines across cloud and on-prem sources, ensuring data quality, lineage, and auditability.
  • Develop and optimize Python/ PySpark and SQL-based data transformations for large-scale, high-volume financial datasets.
  • Architect and manage data pipeline orchestration (e.g., Airflow, Databricks Workflows, Step Functions) to automate ingestion, transformation, and delivery.
  • Build and maintain CI/CD pipelines using GitHub/GitHub Actions to support automated testing, deployment, and version-controlled infrastructure changes.
  • Develop cloud-based solutions on AWS (S3, Glue, EMR, Redshift, Lambda, IAM) supporting analytics, reporting, and downstream ML use cases.
  • Deploy and manage infrastructure and pipelines as code, following best practices for environment promotion, rollback, and monitoring.
  • Monitor, troubleshoot, and optimize pipeline performance, query efficiency, and cost across the data stack.
  • Partner with data scientists, analysts, product, and risk/compliance teams to translate business requirements into robust data solutions.
  • Enforce data governance, security, and regulatory compliance standards appropriate for financial data (PII, SOX, PCI, etc.).
  • Document pipeline architecture, data models, and processes; contribute to engineering standards and code review practices.

Qualifications
  • Required Technical Skills
  • Advanced proficiency in Python for scripting, automation, and data engineering workflows.
  • Strong hands-on experience with PySpark for distributed data processing at scale.
  • Expert-level SQL and Advanced SQL (window functions, query optimization, complex joins, performance tuning).
  • Solid experience with AWS cloud services and cloud-based application/data development (S3, Glue, EMR, Redshift, Lambda, IAM, CloudWatch).
  • Proven expertise building and orchestrating data pipelines (Airflow, Databricks Workflows, Step Functions, or equivalent).
  • Hands-on CI/CD experience using GitHub / GitHub Actions for automated build, test, and deployment.
  • Deep understanding of ETL/ELT design patterns, data modeling, and data warehousing concepts.
  • Experience deploying infrastructure and pipelines via code (e.g. version-controlled deployments).
  • Demonstrated ability to optimize pipeline performance, query execution, and cloud resource/cost efficiency.
    Preferred / Desired Skills (Nice to Have)
  • Hands-on experience with Databricks (Delta Lake, Unity Catalog, notebooks, cluster optimization).
  • Familiarity with Terraform or CloudFormation for infrastructure as code.
  • Experience with streaming data technologies (Kafka, Kinesis, Spark Structured Streaming).
  • Exposure to data quality/testing frameworks (Great Expectations, Dbt tests).
  • Knowledge of Dbt for transformation and analytics engineering workflows.
  • Understanding of financial data domains - payments, lending, risk, fraud, or accounting data.
  • Relevant certifications (AWS Certified Data Analytics/Solutions Architect, Databricks Certified Data Engineer).
    Qualifications
  • Bachelor's degree in computer science, Engineering, Data Science, or a related field (or equivalent practical experience).
  • 5+ years of experience in data engineering, analytics engineering, or a related technical role.
  • Prior experience working within banking, fintech, or financial services, with awareness of regulatory and data-security requirements.
  • Demonstrated track record delivering production-grade data pipelines in a cloud environment.
  • Soft Skills
  • Strong analytical and problem-solving skills with attention to detail and data accuracy.
  • Excellent communication skills; able to translate technical concepts for non-technical stakeholders.
  • Collaborative mindset with experience working cross-functionally with analysts, engineers, and business teams.
  • Self-directed and comfortable owning projects end-to-end in a fast-paced, regulated environment.
    Strong ownership mentality around data quality, reliability, and documentation.
    Base Compensation Range: $140,000- $155,000
    The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.
About the Team
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.

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