Skip to content

Open nowPosted 33 days ago

Sr. Data Engineer

savealot414 open roles

Where
400 NW Plz Dr, St Ann, MO 63074, USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSr. Data Engineersavealot · 400 NW Plz Dr, St Ann, MO 63074, USA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on savealot's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 33 days ago

The posting

Purpose 

The IT Engineer Senior Data is responsible for designing and developing solutions and interfaces for the Data Platforms and Data Insights teams.  This includes various data interfaces to and from databases, applications, and API’s to ingest data into the Cloud data environment, the landing zone, the Enterprise Data Warehouse, any downstream applications, as well as any data quality or metadata solutions.  In addition, the Data Engineer will be responsible for data profiling, creating ETL (extract, transformation, and load) scripts within the data warehouse, designing data models using Entity Relationship modeling tools, and loading data into various data platforms using batch, stream, and bulk utilities.  The Data Engineer will also be responsible for scheduling jobs and workflows as well as versioning and documenting their designs and data flows.  The Data Engineer will use agile, iterative, and waterfall methodologies and will provide the highest level of support. 

Responsibilities 

Act as an expert in the areas of data engineering, architecture, advanced analytics, or data science  Create data interfaces and scripts to load the enterprise data warehouse, data lake, data marts and other analytics environments to support enterprise-wide data consumption  Build an enterprise data pipeline to improve access to real/near-real-time data across the enterprise  Design and develop ETL (Extract, Transform, and Load) jobs within the data warehouse and other data platforms  Create templates and engineering patterns to reduce the time-to-deploy new data assets or changes to an existing data model or analytics solution  Act as a technical expert on the different data interface solutions (expertise in SQL, Python, Informatica, Azure Data Factory, and SQL Server Integration Services recommended)  Assist in optimizing and tuning data interfaces, jobs, and workflows and look for ways to improve efficiencies and effectiveness of existing solutions  Partner with key business teams to understand their data needs and assist them in building the appropriate data interfaces to meet their business needs  Partner with the security and risk teams to build appropriate security and compliance into the data platforms  Partner with the enterprise technology function to ensure effective and efficient operation of all data environments  Foster continuous process improvement within the data & insights organization and functions    Cultivate strong relationships with all stakeholders of the data & insights team 

About You 

Bachelor's degree in computer science, engineering or related field of study 

3 years IT experience 

3 years of experience delivering high-profile projects in a complex enterprise environment 

3 years developing and delivering data engineering solutions in data warehousing 

3 years developing with data-specific coding languages like SQL 

1-3 years developing and optimizing Multi-Parallel Processing databases like Teradata, Azure SQL DW, Big Query, or Snowflake 

1-3 years developing and optimizing integration tools like Informatica, Azure Data Factory, or SSIS 

Proficient in integrating data in diverse technical environments 

Strong planning and organizational skills 

Experience in measuring and communicating the value of data platforms and tools 

Experience in multiple enterprise environments, industries and development methodologies 

Physical Requirements 

Ability to travel up to ~10% of the time, which may include weekends and evenings, as needed  Most work is performed in a temperature-controlled environment  Incumbent may sit for long periods of time at a desk or computer terminal  Incumbent may use calculators, keyboards, telephone and other office equipment in the course of a normal workday  Stooping, bending, twisting and reaching may be required in completion of job duties 

#LI-LW2

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against savealot's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on savealot's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    savealot's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.