Madison Logic

Senior Data Engineer

Pune, India

Open 6 months, first seen by us 196 days ago

Pay: Pay not listed
Work setting: Working pattern needs review — work setting source
Work Environment: We offer a mix of remote and hybrid working. Remote work arrangements are not available for all positions. Hybrid work is required for employees local to our offices. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details. Pay Transparency/Equity:
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Build and maintain core data pipelines with production-level SQL and Python
Adapt and enhance data models and schemas for business and engineering needs
Conduct data analysis to improve overall business performance
Identify and select optimal data sources for specific analytical tasks
Establish procedures for data mining, modeling, and production

From the employer’s posting

Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.

Adapt and enhance data models and data schemas to align with both business and engineering requirements.

Conduct data analysis to contribute to the enhancement of overall business performance.

Identify and select optimal data sources for specific analytical tasks.

Establish procedures for data mining, data modeling, and data production.

Education & alternatives

Equipped to Excel (Qualifications) - Educational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics. - Programming Expertise: 5+ years of experience with Python, with the ability to write production-level code.

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Posting record

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Open 6 monthsWe first saw this posting 196 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 1, 2026196 days ago
Recorded sightings: 100
Last seen by us: Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 196

Up longer than most. Similar jobs usually come down between day 6 and day 56.

From 13,630 similar postings that came down. Coming down is not always a hire.

Madison Logic is hiring

2 open jobs

No new data jobs since July

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Kafka
SageMaker
Snowflake
Airflow

Where the posting names them

Driven to Deliver (What You'll Do) - Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms. - Adapt and enhance data models and data schemas to align with both business and engineering requirements.

- Educational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics. - Programming Expertise: 5+ years of experience with Python, with the ability to write production-level code. - SQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.

- Programming Expertise: 5+ years of experience with Python, with the ability to write production-level code. - SQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models. - Cloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).

- Data Cleaning: Be skilled in data cleaning and standardization processes. - SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning. Distinct by Design (What Sets You Apart)

- SQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models. - Cloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services). - Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS).

- Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS). - Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker. - Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.

- Cloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services). - Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS). - Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.

- Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker. - Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus. - Data Cleaning: Be skilled in data cleaning and standardization processes.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Our Blueprint (Company Overview)

At Madison Logic, we turn buyer uncertainty into confident action. Using data-driven insights and strategic expertise, we help marketers align every decision-maker, in every buying group, at every stage of the journey. We meet buyers wherever they are, navigating today’s non-linear decision paths to keep marketers ahead. By combining data-rich strategy with multi-channel activation, we show B2B marketers and their agency partners not just what works, but why it works, so growth is accelerated with clarity and purpose.

“When ambitious marketers connect with their most elusive buyers to achieve ambitious growth targets, something extraordinary happens.”

“It’s not magic. It’s not just logic. It’s Madison Logic.”

Built for Belonging (Why You'll Love Working Here)

Here’s why you’ll love working here:

Access to competitive compensation & benefits that reward your contributions.
Participation in employee recognition programs to celebrate achievements big and small.
Exposure to professional development & learning initiatives to help you build your own path.
Foundation built on values anchored in Accountability, Team, Urgency, Respect, Integrity, and Innovation.
Opportunities for global exposure work alongside talented colleagues across India, Singapore, the UK, and the US, expanding your perspective and network.
Invitations to yearly team offsites to connect, collaborate, and strengthen relationships in person.
Leverage a lifestyle spending account benefit so you can choose your own wellness and work-from-home perks.
- Benefits and perks vary based on employment status, location, and eligibility.

Our commitment to you:

Our aspiration: A culture where every person feels confident navigating their unique path and inspired to grow every step of the way.
Our support: Meeting you where you are, empowering your growth with clarity, support, and purpose.
Our promise: Your growth is yours to lead, but never a journey you take alone.

Driven to Deliver (What You'll Do)

Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.
Adapt and enhance data models and data schemas to align with both business and engineering requirements.
Conduct data analysis to contribute to the enhancement of overall business performance.
Identify and select optimal data sources for specific analytical tasks.
Establish procedures for data mining, data modeling, and data production.
Collaborate with internal and external partners to address challenges and ensure successful outcomes.

Equipped to Excel (Qualifications)

Educational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics.
Programming Expertise: 5+ years of experience with Python, with the ability to write production-level code.
SQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.
Cloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).
Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS).
Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.
Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.
Data Cleaning: Be skilled in data cleaning and standardization processes.
SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning.

Distinct by Design (What Sets You Apart)

Self-Sufficient and proactive nature, able & comfortable "figuring things out", resorting to escalation only when after exhausting all other options
Exceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear & concise manner across all levels and functions
Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.

Your Next Chapter

If you’re excited about helping clients succeed, love the idea of working at the forefront of marketing innovation, and want to be part of a team where integrity, respect, innovation, urgency, and accountability aren’t just words — they’re how we show up every day — then let’s talk.

Work Environment:

We offer a mix of remote and hybrid working. Remote work arrangements are not available for all positions. Hybrid work is required for employees local to our offices. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.

Pay Transparency/Equity:

We are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner.

We will provide more information about our perks & benefits upon request.

Our Commitment to Diversity & Inclusion:

Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.

Privacy Disclosure:

All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only.

For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website (https://www.madisonlogic.com/privacy/).

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