Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 3 days ago

Data Engineer (Financial Services)

4 Staffing Corp95 open roles

Where
Newark, New Jersey, United States, Remote
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowData Engineer (Financial Services)4 Staffing Corp · Newark, New Jersey, United States, Remote

  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 4 Staffing Corp'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Data Engineer (Fixed Income Capital Markets)

  • Full-time, direct employment
  • Hybrid onsite/remote - Newark, NJ
  • No visa sponsorship or C2C at this time

Job Description:

Our client is seeking a skilled and experienced Data Engineer with expertise in Fixed Income Capital Markets to join their dynamic team. The ideal candidate will possess a strong technical background in data engineering, with specific experience in containerization, Python API development, streaming/messaging systems, and capital markets within Fixed Income.

Responsibilities:

  1. Containerization Expertise: Demonstrated proficiency in working with containerization technologies like ECS (Amazon Elastic Container Service) or Docker. Experience in deploying, managing, and scaling containerized applications in a production environment is essential.
  2. Python API Development: Extensive experience in developing APIs using Python, with a focus on building scalable and efficient data pipelines. Knowledge of Snowflake Snowpark coding is highly desirable, including the ability to leverage Snowpark for data processing tasks.
  3. Streaming and Messaging Systems: Strong understanding and practical experience with streaming platforms such as Kafka or Kinesis. Ability to design, implement, and optimize data streaming pipelines for real-time data processing and analysis.
  4. Fixed Income Capital Markets: In-depth understanding of capital markets within Fixed Income, including bond markets, interest rates, credit products, and related financial instruments. Experience working with financial data and analytics in a Fixed Income context is highly preferred.
  5. Data Engineering: Collaborate with cross-functional teams to design, build, and maintain data pipelines, ETL processes, and data warehouses. Ensure data quality, reliability, and scalability across various data sources and systems.
  6. Problem Solving and Innovation: Proactively identify opportunities for process improvement, automation, and optimization within the data engineering infrastructure. Drive innovation by implementing best practices and emerging technologies in data engineering.
  7. Communication and Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand requirements, gather feedback, and deliver impactful data solutions. Excellent communication skills are essential for effectively conveying technical concepts to non-technical audiences.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field.
  • Strong programming skills in Python, with experience in API development and data manipulation.
  • Hands-on experience with containerization technologies like ECS or Docker.
  • Familiarity with Snowflake Snowpark for data processing tasks is a plus.
  • Proficiency in streaming/messaging systems such as Kafka or Kinesis.
  • Solid understanding of capital markets, particularly within Fixed Income.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services is advantageous.
  • Strong problem-solving skills, attention to detail, and a passion for continuous learning and improvement.

This is an exciting opportunity for a Data Engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies to drive innovation in Fixed Income Capital Markets. If you have the required skills and experience, we invite you to apply for immediate consideration.

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 4 Staffing Corp'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 4 Staffing Corp'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

    4 Staffing Corp'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.

Get the CV for this 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.